[
  {
    "id": "2603.26664",
    "title": "Learning to Commit: Generating Organic Pull Requests via Online Repository Memory",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26664"
  },
  {
    "id": "2603.26663",
    "title": "Weight Tying Biases Token Embeddings Towards the Output Space",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26663"
  },
  {
    "id": "2603.26660",
    "title": "Ruka-v2: Tendon Driven Open-Source Dexterous Hand with Wrist and Abduction for Robot Learning",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26660"
  },
  {
    "id": "2603.26657",
    "title": "Tunable Soft Equivariance with Guarantees",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26657"
  },
  {
    "id": "2603.26653",
    "title": "PerceptionComp: A Video Benchmark for Complex Perception-Centric Reasoning",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26653"
  },
  {
    "id": "2603.26648",
    "title": "Vision2Web: A Hierarchical Benchmark for Visual Website Development with Agent Verification",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26648"
  },
  {
    "id": "2603.26647",
    "title": "An LP-based Sampling Policy for Multi-Armed Bandits with Side-Observations and Stochastic Availability",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26647"
  },
  {
    "id": "2603.26644",
    "title": "Automatic Laplace Collapsed Sampling: Scalable Marginalisation of Latent Parameters via Automatic Differentiation",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26644"
  },
  {
    "id": "2603.26639",
    "title": "Make Geometry Matter for Spatial Reasoning",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26639"
  },
  {
    "id": "2603.26632",
    "title": "Machine Learning Transferability for Malware Detection",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26632"
  },
  {
    "id": "2603.26629",
    "title": "Context-specific Credibility-aware Multimodal Fusion with Conditional Probabilistic Circuits",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26629"
  },
  {
    "id": "2603.26611",
    "title": "Benchmarking Tabular Foundation Models for Conditional Density Estimation in Regression",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26611"
  },
  {
    "id": "2603.26610",
    "title": "Think over Trajectories: Leveraging Video Generation to Reconstruct GPS Trajectories from Cellular Signaling",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26610"
  },
  {
    "id": "2603.26604",
    "title": "Hardware-Aware Tensor Networks for Real-Time Quantum-Inspired Anomaly Detection at Particle Colliders",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26604"
  },
  {
    "id": "2603.26603",
    "title": "Sustainability Is Not Linear: Quantifying Performance, Energy, and Privacy Trade-offs in On-Device Intelligence",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26603"
  },
  {
    "id": "2603.26596",
    "title": "Characterization and forecasting of national-scale solar power ramp events",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26596"
  },
  {
    "id": "2603.26595",
    "title": "PQuantML: A Tool for End-to-End Hardware-aware Model Compression",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26595"
  },
  {
    "id": "2603.26592",
    "title": "Evaluating Interactive 2D Visualization as a Sample Selection Strategy for Biomedical Time-Series Data Annotation",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26592"
  },
  {
    "id": "2603.26588",
    "title": "From Synthetic Data to Real Restorations: Diffusion Model for Patient-specific Dental Crown Completion",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26588"
  },
  {
    "id": "2603.26587",
    "title": "EnTaCs: Analyzing the Relationship Between Sentiment and Language Choice in English-Tamil Code-Switching",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26587"
  },
  {
    "id": "2603.26575",
    "title": "The Climber's Grip -- Personalized Deep Learning Models for Fear and Muscle Activity in Climbing",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26575"
  },
  {
    "id": "2603.26571",
    "title": "Generation Is Compression: Zero-Shot Video Coding via Stochastic Rectified Flow",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26571"
  },
  {
    "id": "2603.26569",
    "title": "Machine Unlearning under Retain-Forget Entanglement",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26569"
  },
  {
    "id": "2603.26567",
    "title": "Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26567"
  },
  {
    "id": "2603.26557",
    "title": "MemBoost: A Memory-Boosted Framework for Cost-Aware LLM Inference",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26557"
  },
  {
    "id": "2603.26556",
    "title": "When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26556"
  },
  {
    "id": "2603.26554",
    "title": "Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26554"
  },
  {
    "id": "2603.26551",
    "title": "Beyond MACs: Hardware Efficient Architecture Design for Vision Backbones",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26551"
  },
  {
    "id": "2603.26547",
    "title": "A Lyapunov Analysis of Softmax Policy Gradient for Stochastic Bandits",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26547"
  },
  {
    "id": "2603.26544",
    "title": "Development of a European Union Time-Indexed Reference Dataset for Assessing the Performance of Signal Detection Methods in Pharmacovigilance using a Large Language Model",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26544"
  },
  {
    "id": "2603.26542",
    "title": "The Multi-AMR Buffer Storage, Retrieval, and Reshuffling Problem: Exact and Heuristic Approaches",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26542"
  },
  {
    "id": "2603.26539",
    "title": "How Open Must Language Models be to Enable Reliable Scientific Inference?",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26539"
  },
  {
    "id": "2603.26535",
    "title": "Stabilizing Rubric Integration Training via Decoupled Advantage Normalization",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26535"
  },
  {
    "id": "2603.26517",
    "title": "The internal law of a material can be discovered from its boundary",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26517"
  },
  {
    "id": "2603.26516",
    "title": "ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMs",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26516"
  },
  {
    "id": "2603.26515",
    "title": "JAL-Turn: Joint Acoustic-Linguistic Modeling for Real-Time and Robust Turn-Taking Detection in Full-Duplex Spoken Dialogue Systems",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26515"
  },
  {
    "id": "2603.26512",
    "title": "CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26512"
  },
  {
    "id": "2603.26511",
    "title": "AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26511"
  },
  {
    "id": "2603.26510",
    "title": "Clinical named entity recognition in the Portuguese language: a benchmark of modern BERT models and LLMs",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26510"
  },
  {
    "id": "2603.26506",
    "title": "Identifying Connectivity Distributions from Neural Dynamics Using Flows",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26506"
  },
  {
    "id": "2603.26499",
    "title": "AIRA_2: Overcoming Bottlenecks in AI Research Agents",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26499"
  },
  {
    "id": "2603.26498",
    "title": "Rocks, Pebbles and Sand: Modality-aware Scheduling for Multimodal Large Language Model Inference",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26498"
  },
  {
    "id": "2603.26494",
    "title": "Entanglement as Memory: Mechanistic Interpretability of Quantum Language Models",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26494"
  },
  {
    "id": "2603.26489",
    "title": "Conditional Neural Bayes Ratio Estimation for Experimental Design Optimisation",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26489"
  },
  {
    "id": "2603.26483",
    "title": "EcoFair: Trustworthy and Energy-Aware Routing for Privacy-Preserving Vertically Partitioned Medical Inference",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26483"
  },
  {
    "id": "2603.26482",
    "title": "SPECTRA: An Efficient Spectral-Informed Neural Network for Sensor-Based Activity Recognition",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26482"
  },
  {
    "id": "2603.26476",
    "title": "Shapley meets Rawls: an integrated framework for measuring and explaining unfairness",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26476"
  },
  {
    "id": "2603.26475",
    "title": "Foundation Model for Cardiac Time Series via Masked Latent Attention",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26475"
  },
  {
    "id": "2603.26469",
    "title": "UNIFERENCE: A Discrete Event Simulation Framework for Developing Distributed AI Models",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26469"
  },
  {
    "id": "2603.26465",
    "title": "A Boltzmann-machine-enhanced Transformer For DNA Sequence Classification",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26465"
  },
  {
    "id": "2603.26464",
    "title": "Automatic feature identification in least-squares policy iteration using the Koopman operator framework",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26464"
  },
  {
    "id": "2603.26461",
    "title": "Neuro-Symbolic Process Anomaly Detection",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26461"
  },
  {
    "id": "2603.26458",
    "title": "Can AI Models Direct Each Other? Organizational Structure as a Probe into Training Limitations",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26458"
  },
  {
    "id": "2603.26456",
    "title": "Fair Data Pre-Processing with Imperfect Attribute Space",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26456"
  },
  {
    "id": "2603.26449",
    "title": "ClimateCheck 2026: Scientific Fact-Checking and Disinformation Narrative Classification of Climate-related Claims",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26449"
  },
  {
    "id": "2603.26447",
    "title": "Meta-Learned Adaptive Optimization for Robust Human Mesh Recovery with Uncertainty-Aware Parameter Updates",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26447"
  },
  {
    "id": "2603.26440",
    "title": "Interpretable long-term traffic modelling on national road networks using theory-informed deep learning",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26440"
  },
  {
    "id": "2603.26434",
    "title": "Automating Clinical Information Retrieval from Finnish Electronic Health Records Using Large Language Models",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26434"
  },
  {
    "id": "2603.26432",
    "title": "Reconstructing Quantum Dot Charge Stability Diagrams with Diffusion Models",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26432"
  },
  {
    "id": "2603.26430",
    "title": "Analysing Calls to Order in German Parliamentary Debates",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26430"
  },
  {
    "id": "2603.26425",
    "title": "CPUBone: Efficient Vision Backbone Design for Devices with Low Parallelization Capabilities",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26425"
  },
  {
    "id": "2603.26418",
    "title": "Kantorovich--Kernel Neural Operators: Approximation Theory, Asymptotics, and Neural Network Interpretation",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26418"
  },
  {
    "id": "2603.26415",
    "title": "KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26415"
  },
  {
    "id": "2603.26410",
    "title": "Why Models Know But Don't Say: Chain-of-Thought Faithfulness Divergence Between Thinking Tokens and Answers in Open-Weight Reasoning Models",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26410"
  },
  {
    "id": "2603.26401",
    "title": "Word Alignment-Based Evaluation of Uniform Meaning Representations",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26401"
  },
  {
    "id": "2603.26389",
    "title": "Maintaining Difficulty: A Margin Scheduler for Triplet Loss in Siamese Networks Training",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26389"
  },
  {
    "id": "2603.26380",
    "title": "Switch Attention: Towards Dynamic and Fine-grained Hybrid Transformers",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26380"
  },
  {
    "id": "2603.26378",
    "title": "Generative Modeling in Protein Design: Neural Representations, Conditional Generation, and Evaluation Standards",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26378"
  },
  {
    "id": "2603.26363",
    "title": "A Formal Framework for Uncertainty Analysis of Text Generation with Large Language Models",
    "categories": [
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26363"
  },
  {
    "id": "2603.26359",
    "title": "Automated near-term quantum algorithm discovery for molecular ground states",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26359"
  },
  {
    "id": "2603.26351",
    "title": "DuSCN-FusionNet: An Interpretable Dual-Channel Structural Covariance Fusion Framework for ADHD Classification Using Structural MRI",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26351"
  },
  {
    "id": "2603.26349",
    "title": "Generative Score Inference for Multimodal Data",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26349"
  },
  {
    "id": "2603.26348",
    "title": "Reflect to Inform: Boosting Multimodal Reasoning via Information-Gain-Driven Verification",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26348"
  },
  {
    "id": "2603.26344",
    "title": "A Power-Weighted Noncentral Complex Gaussian Distribution",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26344"
  },
  {
    "id": "2603.26339",
    "title": "Curvature-aware Expected Free Energy as an Acquisition Function for Bayesian Optimization",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26339"
  },
  {
    "id": "2603.26332",
    "title": "CALRK-Bench: Evaluating Context-Aware Legal Reasoning in Korean Law",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26332"
  },
  {
    "id": "2603.26330",
    "title": "Mitigating the Reasoning Tax in Vision-Language Fine-Tuning with Input-Adaptive Depth Aggregation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26330"
  },
  {
    "id": "2603.26327",
    "title": "Making Multi-Axis Models Robust to Multiplicative Noise: How, and Why?",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26327"
  },
  {
    "id": "2603.26324",
    "title": "PRISMA: Toward a Normative Information Infrastructure for Responsible Pharmaceutical Knowledge Management",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26324"
  },
  {
    "id": "2603.26323",
    "title": "From Human Cognition to Neural Activations: Probing the Computational Primitives of Spatial Reasoning in LLMs",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26323"
  },
  {
    "id": "2603.26318",
    "title": "STN-GPR: A Singularity Tensor Network Framework for Efficient Option Pricing",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26318"
  },
  {
    "id": "2603.26317",
    "title": "Label-Free Cross-Task LoRA Merging with Null-Space Compression",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26317"
  },
  {
    "id": "2603.26316",
    "title": "SALMUBench: A Benchmark for Sensitive Association-Level Multimodal Unlearning",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26316"
  },
  {
    "id": "2603.26309",
    "title": "Semi-structured multi-state delinquency model for mortgage default",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26309"
  },
  {
    "id": "2603.26308",
    "title": "D-GATNet: Interpretable Temporal Graph Attention Learning for ADHD Identification Using Dynamic Functional Connectivity",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26308"
  },
  {
    "id": "2603.26299",
    "title": "Preference-Aligned LoRA Merging: Preserving Subspace Coverage and Addressing Directional Anisotropy",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26299"
  },
  {
    "id": "2603.26292",
    "title": "findsylls: A Language-Agnostic Toolkit for Syllable-Level Speech Tokenization and Embedding",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26292"
  },
  {
    "id": "2603.26285",
    "title": "PhysVid: Physics Aware Local Conditioning for Generative Video Models",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26285"
  },
  {
    "id": "2603.26270",
    "title": "Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26270"
  },
  {
    "id": "2603.26266",
    "title": "GUIDE: Resolving Domain Bias in GUI Agents through Real-Time Web Video Retrieval and Plug-and-Play Annotation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26266"
  },
  {
    "id": "2603.26264",
    "title": "Topology-Aware Graph Reinforcement Learning for Energy Storage Systems Optimal Dispatch in Distribution Networks",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26264"
  },
  {
    "id": "2603.26262",
    "title": "GLASS: Geometry-aware Local Alignment and Structure Synchronization Network for 2D-3D Registration",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26262"
  },
  {
    "id": "2603.26261",
    "title": "Contrastive Conformal Sets",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26261"
  },
  {
    "id": "2603.26260",
    "title": "GeoGuide: Hierarchical Geometric Guidance for Open-Vocabulary 3D Semantic Segmentation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26260"
  },
  {
    "id": "2603.26259",
    "title": "Working Notes on Late Interaction Dynamics: Analyzing Targeted Behaviors of Late Interaction Models",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26259"
  },
  {
    "id": "2603.26258",
    "title": "ARTA: Adaptive Mixed-Resolution Token Allocation for Efficient Dense Feature Extraction",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26258"
  },
  {
    "id": "2603.26254",
    "title": "Improving Risk Stratification in Hypertrophic Cardiomyopathy: A Novel Score Combining Echocardiography, Clinical, and Medication Data",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26254"
  },
  {
    "id": "2603.26253",
    "title": "SocialX: A Modular Platform for Multi-Source Big Data Research in Indonesia",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26253"
  },
  {
    "id": "2603.26252",
    "title": "Channelling, Coordinating, Collaborating: A Three-Layer Framework for Disability-Centered Human-Agent Collaboration",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26252"
  },
  {
    "id": "2603.26249",
    "title": "Knowledge Distillation for Efficient Transformer-Based Reinforcement Learning in Hardware-Constrained Energy Management Systems",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26249"
  },
  {
    "id": "2603.26248",
    "title": "Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26248"
  },
  {
    "id": "2603.26246",
    "title": "Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26246"
  },
  {
    "id": "2603.26245",
    "title": "Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26245"
  },
  {
    "id": "2603.26244",
    "title": "Automating Domain-Driven Design: Experience with a Prompting Framework",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26244"
  },
  {
    "id": "2603.26236",
    "title": "A Universal Vibe? Finding and Controlling Language-Agnostic Informal Register with SAEs",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26236"
  },
  {
    "id": "2603.26235",
    "title": "GS-BrainText: A Multi-Site Brain Imaging Report Dataset from Generation Scotland for Clinical Natural Language Processing Development and Validation",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26235"
  },
  {
    "id": "2603.26233",
    "title": "Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26233"
  },
  {
    "id": "2603.26231",
    "title": "Optimization Trade-offs in Asynchronous Federated Learning: A Stochastic Networks Approach",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26231"
  },
  {
    "id": "2603.26227",
    "title": "Privacy-Accuracy Trade-offs in High-Dimensional LASSO under Perturbation Mechanisms",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26227"
  },
  {
    "id": "2603.26221",
    "title": "Clawed and Dangerous: Can We Trust Open Agentic Systems?",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26221"
  },
  {
    "id": "2603.26217",
    "title": "On associative neural networks for sparse patterns with huge capacities",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26217"
  },
  {
    "id": "2603.26211",
    "title": "Towards GUI Agents: Vision-Language Diffusion Models for GUI Grounding",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26211"
  },
  {
    "id": "2603.26207",
    "title": "Sparse Auto-Encoders and Holism about Large Language Models",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26207"
  },
  {
    "id": "2603.26203",
    "title": "An Object Web Seminar: A Retrospective on a Technical Dialogue Still Reverbarating",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26203"
  },
  {
    "id": "2603.26193",
    "title": "MemCam: Memory-Augmented Camera Control for Consistent Video Generation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26193"
  },
  {
    "id": "2603.26190",
    "title": "Dual-Stage Invariant Continual Learning under Extreme Visual Sparsity",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26190"
  },
  {
    "id": "2603.26186",
    "title": "Progressive Learning with Anatomical Priors for Reliable Left Atrial Scar Segmentation from Late Gadolinium Enhancement MRI",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26186"
  },
  {
    "id": "2603.26182",
    "title": "ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26182"
  },
  {
    "id": "2603.26178",
    "title": "Geometric Evolution Graph Convolutional Networks: Enhancing Graph Representation Learning via Ricci Flow",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26178"
  },
  {
    "id": "2603.26177",
    "title": "Can AI Scientist Agents Learn from Lab-in-the-Loop Feedback? Evidence from Iterative Perturbation Discovery",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26177"
  },
  {
    "id": "2603.26164",
    "title": "DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models",
    "categories": [
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26164"
  },
  {
    "id": "2603.26156",
    "title": "Clash of the models: Comparing performance of BERT-based variants for generic news frame detection",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26156"
  },
  {
    "id": "2603.26140",
    "title": "On the Complexity of Optimal Graph Rewiring for Oversmoothing and Oversquashing in Graph Neural Networks",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26140"
  },
  {
    "id": "2603.26138",
    "title": "PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26138"
  },
  {
    "id": "2603.26137",
    "title": "ATime-Consistent Benchmark for Repository-Level Software Engineering Evaluation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26137"
  },
  {
    "id": "2603.26136",
    "title": "PEANUT: Perturbations by Eigenvalue Alignment for Attacking GNNs Under Topology-Driven Message Passing",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26136"
  },
  {
    "id": "2603.26135",
    "title": "TinyML for Acoustic Anomaly Detection in IoT Sensor Networks",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26135"
  },
  {
    "id": "2603.26130",
    "title": "SWE-PRBench: Benchmarking AI Code Review Quality Against Pull Request Feedback",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26130"
  },
  {
    "id": "2603.26127",
    "title": "Finding Distributed Object-Centric Properties in Self-Supervised Transformers",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26127"
  },
  {
    "id": "2603.26122",
    "title": "SkinGPT-X: A Self-Evolving Collaborative Multi-Agent System for Transparent and Trustworthy Dermatological Diagnosis",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26122"
  },
  {
    "id": "2603.26114",
    "title": "DPD-Cancer: Explainable Graph-based Deep Learning for Small Molecule Anti-Cancer Activity Prediction",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26114"
  },
  {
    "id": "2603.26108",
    "title": "Accurate Precipitation Forecast by Efficiently Learning from Massive Atmospheric Variables and Unbalanced Distribution",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26108"
  },
  {
    "id": "2603.26106",
    "title": "LLM Benchmark-User Need Misalignment for Climate Change",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26106"
  },
  {
    "id": "2603.26105",
    "title": "Are LLM-Enhanced Graph Neural Networks Robust against Poisoning Attacks?",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26105"
  },
  {
    "id": "2603.26099",
    "title": "\"Oops! ChatGPT is Temporarily Unavailable!\": A Diary Study on Knowledge Workers' Experiences of LLM Withdrawal",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26099"
  },
  {
    "id": "2603.26098",
    "title": "A Human-Inspired Decoupled Architecture for Efficient Audio Representation Learning",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26098"
  },
  {
    "id": "2603.26097",
    "title": "Dynamic Tokenization via Reinforcement Patching: End-to-end Training and Zero-shot Transfer",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26097"
  },
  {
    "id": "2603.26096",
    "title": "AcTTA: Rethinking Test-Time Adaptation via Dynamic Activation",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26096"
  },
  {
    "id": "2603.26095",
    "title": "IndoBERT-Relevancy: A Context-Conditioned Relevancy Classifier for Indonesian Text",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26095"
  },
  {
    "id": "2603.26092",
    "title": "CD-Buffer: Complementary Dual-Buffer Framework for Test-Time Adaptation in Adverse Weather Object Detection",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26092"
  },
  {
    "id": "2603.26089",
    "title": "Selective Deficits in LLM Mental Self-Modeling in a Behavior-Based Test of Theory of Mind",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26089"
  },
  {
    "id": "2603.26078",
    "title": "When Identities Collapse: A Stress-Test Benchmark for Multi-Subject Personalization",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26078"
  },
  {
    "id": "2603.26076",
    "title": "Semi-Automated Knowledge Engineering and Process Mapping for Total Airport Management",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26076"
  },
  {
    "id": "2603.26071",
    "title": "MUST: Modality-Specific Representation-Aware Transformer for Diffusion-Enhanced Survival Prediction with Missing Modality",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26071"
  },
  {
    "id": "2603.26067",
    "title": "R-PGA: Robust Physical Adversarial Camouflage Generation via Relightable 3D Gaussian Splatting",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26067"
  },
  {
    "id": "2603.26066",
    "title": "Adversarial Bandit Optimization with Globally Bounded Perturbations to Linear Losses",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26066"
  },
  {
    "id": "2603.26064",
    "title": "MuDD: A Multimodal Deception Detection Dataset and GSR-Guided Progressive Distillation for Non-Contact Deception Detection",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26064"
  },
  {
    "id": "2603.26062",
    "title": "I Want to Believe (but the Vocabulary Changed): Measuring the Semantic Structure and Evolution of Conspiracy Theories",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26062"
  },
  {
    "id": "2603.26052",
    "title": "Bridging Pixels and Words: Mask-Aware Local Semantic Fusion for Multimodal Media Verification",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26052"
  },
  {
    "id": "2603.26049",
    "title": "Seeing Like Radiologists: Context- and Gaze-Guided Vision-Language Pretraining for Chest X-rays",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26049"
  },
  {
    "id": "2603.26048",
    "title": "Asymptotic Optimism for Tensor Regression Models with Applications to Neural Network Compression",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26048"
  },
  {
    "id": "2603.26046",
    "title": "Retrieval-Augmented Generation Based Nurse Observation Extraction",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26046"
  },
  {
    "id": "2603.26045",
    "title": "H-Node Attack and Defense in Large Language Models",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26045"
  },
  {
    "id": "2603.26034",
    "title": "AgentCollab: A Self-Evaluation-Driven Collaboration Paradigm for Efficient LLM Agents",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26034"
  },
  {
    "id": "2603.26031",
    "title": "Designing Fatigue-Aware VR Interfaces via Biomechanical Models",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26031"
  },
  {
    "id": "2603.26030",
    "title": "Constitutive parameterized deep energy method for solid mechanics problems with random material parameters",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26030"
  },
  {
    "id": "2603.26024",
    "title": "Identification of Bivariate Causal Directionality Based on Anticipated Asymmetric Geometries",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26024"
  },
  {
    "id": "2603.26023",
    "title": "GLU: Global-Local-Uncertainty Fusion for Scalable Spatiotemporal Reconstruction and Forecasting",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26023"
  },
  {
    "id": "2603.26019",
    "title": "Unlabeled Cross-Center Automatic Analysis for TAAD: An Integrated Framework from Segmentation to Clinical Features",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26019"
  },
  {
    "id": "2603.26017",
    "title": "QuitoBench: A High-Quality Open Time Series Forecasting Benchmark",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26017"
  },
  {
    "id": "2603.26015",
    "title": "VLAgeBench: Benchmarking Large Vision-Language Models for Zero-Shot Human Age Estimation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26015"
  },
  {
    "id": "2603.26013",
    "title": "Toward Culturally Grounded Natural Language Processing",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26013"
  },
  {
    "id": "2603.26008",
    "title": "FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26008"
  },
  {
    "id": "2603.26007",
    "title": "Longitudinal Boundary Sharpness Coefficient Slopes Predict Time to Alzheimer's Disease Conversion in Mild Cognitive Impairment: A Survival Analysis Using the ADNI Cohort",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26007"
  },
  {
    "id": "2603.26005",
    "title": "AutoB2G: A Large Language Model-Driven Agentic Framework For Automated Building-Grid Co-Simulation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.26005"
  },
  {
    "id": "2603.25981",
    "title": "Policy-Guided World Model Planning for Language-Conditioned Visual Navigation",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25981"
  },
  {
    "id": "2603.25980",
    "title": "A Priori Sampling of Transition States with Guided Diffusion",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25980"
  },
  {
    "id": "2603.25976",
    "title": "Second-Order, First-Class: A Composable Stack for Curvature-Aware Training",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25976"
  },
  {
    "id": "2603.25975",
    "title": "Do Neurons Dream of Primitive Operators? Wake-Sleep Compression Rediscovers Schank's Event Semantics",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25975"
  },
  {
    "id": "2603.25973",
    "title": "MemoryCD: Benchmarking Long-Context User Memory of LLM Agents for Lifelong Cross-Domain Personalization",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25973"
  },
  {
    "id": "2603.25960",
    "title": "When Chain-of-Thought Backfires: Evaluating Prompt Sensitivity in Medical Language Models",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25960"
  },
  {
    "id": "2603.25958",
    "title": "On the Objective and Feature Weights of Minkowski Weighted k-Means",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25958"
  },
  {
    "id": "2603.25956",
    "title": "Adversarial-Robust Multivariate Time-Series Anomaly Detection via Joint Information Retention",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25956"
  },
  {
    "id": "2603.25955",
    "title": "EngineAD: A Real-World Vehicle Engine Anomaly Detection Dataset",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25955"
  },
  {
    "id": "2603.25954",
    "title": "Online Learning for Dynamic Constellation Topologies",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25954"
  },
  {
    "id": "2603.25948",
    "title": "Globalized Adversarial Regret Optimization: Robust Decisions with Uncalibrated Predictions",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25948"
  },
  {
    "id": "2603.25946",
    "title": "Collision-Aware Vision-Language Learning for End-to-End Driving with Multimodal Infraction Datasets",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25946"
  },
  {
    "id": "2603.25944",
    "title": "Can Small Models Reason About Legal Documents? A Comparative Study",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25944"
  },
  {
    "id": "2603.25942",
    "title": "Reinforcing Structured Chain-of-Thought for Video Understanding",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25942"
  },
  {
    "id": "2603.25937",
    "title": "Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25937"
  },
  {
    "id": "2603.25935",
    "title": "DenseSwinV2: Channel Attentive Dual Branch CNN Transformer Learning for Cassava Leaf Disease Classification",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25935"
  },
  {
    "id": "2603.25931",
    "title": "DiReCT: Disentangled Regularization of Contrastive Trajectories for Physics-Refined Video Generation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25931"
  },
  {
    "id": "2603.25926",
    "title": "Density-aware Soft Context Compression with Semi-Dynamic Compression Ratio",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25926"
  },
  {
    "id": "2603.25925",
    "title": "Personalizing Mathematical Game-based Learning for Children: A Preliminary Study",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25925"
  },
  {
    "id": "2603.25924",
    "title": "Good Scores, Bad Data: A Metric for Multimodal Coherence",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25924"
  },
  {
    "id": "2603.25923",
    "title": "Preventing Data Leakage in EEG-Based Survival Prediction: A Two-Stage Embedding and Transformer Framework",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25923"
  },
  {
    "id": "2603.25916",
    "title": "Parameter-Free Dynamic Regret for Unconstrained Linear Bandits",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25916"
  },
  {
    "id": "2603.25901",
    "title": "Decoding Defensive Coverage Responsibilities in American Football Using Factorized Attention Based Transformer Models",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25901"
  },
  {
    "id": "2603.25898",
    "title": "On Integrating Resilience and Human Oversight into LLM-Assisted Modeling Workflows for Digital Twins",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25898"
  },
  {
    "id": "2603.25894",
    "title": "Data-Driven Plasticity Modeling via Acoustic Profiling",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25894"
  },
  {
    "id": "2603.25880",
    "title": "Spectral Coherence Index: A Model-Free Metric for Protein Structural Ensemble Quality Assessment",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25880"
  },
  {
    "id": "2603.25872",
    "title": "DRiffusion: Draft-and-Refine Process Parallelizes Diffusion Models with Ease",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25872"
  },
  {
    "id": "2603.25870",
    "title": "Speech-Synchronized Whiteboard Generation via VLM-Driven Structured Drawing Representations",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25870"
  },
  {
    "id": "2603.25864",
    "title": "GUIDE: A Benchmark for Understanding and Assisting Users in Open-Ended GUI Tasks",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25864"
  },
  {
    "id": "2603.25863",
    "title": "Dynamic LIBRAS Gesture Recognition via CNN over Spatiotemporal Matrix Representation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25863"
  },
  {
    "id": "2603.25862",
    "title": "Methods for Knowledge Graph Construction from Text Collections: Development and Applications",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25862"
  },
  {
    "id": "2603.25861",
    "title": "Why Safety Probes Catch Liars But Miss Fanatics",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25861"
  },
  {
    "id": "2603.25860",
    "title": "On the Expressive Power of Contextual Relations in Transformers",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25860"
  },
  {
    "id": "2603.25857",
    "title": "In-Context Molecular Property Prediction with LLMs: A Blinding Study on Memorization and Knowledge Conflicts",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25857"
  },
  {
    "id": "2603.25855",
    "title": "Incorporating contextual information into KGWAS for interpretable GWAS discovery",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25855"
  },
  {
    "id": "2603.25841",
    "title": "GazeQwen: Lightweight Gaze-Conditioned LLM Modulation for Streaming Video Understanding",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25841"
  },
  {
    "id": "2603.25839",
    "title": "A Compression Perspective on Simplicity Bias",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25839"
  },
  {
    "id": "2603.25836",
    "title": "Gradient-Informed Training for Low-Resource Multilingual Speech Translation",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25836"
  },
  {
    "id": "2603.25832",
    "title": "A Neural Score-Based Particle Method for the Vlasov-Maxwell-Landau System",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25832"
  },
  {
    "id": "2603.25823",
    "title": "ViGoR-Bench: How Far Are Visual Generative Models From Zero-Shot Visual Reasoners?",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25823"
  },
  {
    "id": "2603.25821",
    "title": "Doctorina MedBench: End-to-End Evaluation of Agent-Based Medical AI",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25821"
  },
  {
    "id": "2603.25813",
    "title": "MAGNET: Autonomous Expert Model Generation via Decentralized Autoresearch and BitNet Training",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25813"
  },
  {
    "id": "2603.25810",
    "title": "ExVerus: Verus Proof Repair via Counterexample Reasoning",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25810"
  },
  {
    "id": "2603.25804",
    "title": "RealChart2Code: Advancing Chart-to-Code Generation with Real Data and Multi-Task Evaluation",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25804"
  },
  {
    "id": "2603.25803",
    "title": "Do All Vision Transformers Need Registers? A Cross-Architectural Reassessment",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25803"
  },
  {
    "id": "2603.25796",
    "title": "Beyond identifiability: Learning causal representations with few environments and finite samples",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25796"
  },
  {
    "id": "2603.25793",
    "title": "Vision Transformers and Graph Neural Networks for Charged Particle Tracking in the ATLAS Muon Spectrometer",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25793"
  },
  {
    "id": "2603.25780",
    "title": "A Judge Agent Closes the Reliability Gap in AI-Generated Scientific Simulation",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25780"
  },
  {
    "id": "2603.25779",
    "title": "Pure and Physics-Guided Deep Learning Solutions for Spatio-Temporal Groundwater Level Prediction at Arbitrary Locations",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25779"
  },
  {
    "id": "2603.25777",
    "title": "Challenges and opportunities for AI to help deliver fusion energy",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25777"
  },
  {
    "id": "2603.25776",
    "title": "SAHMM-VAE: A Source-Wise Adaptive Hidden Markov Prior Variational Autoencoder for Unsupervised Blind Source Separation",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25776"
  },
  {
    "id": "2603.25771",
    "title": "Empowering Epidemic Response: The Role of Reinforcement Learning in Infectious Disease Control",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25771"
  },
  {
    "id": "2603.25770",
    "title": "ReCUBE: Evaluating Repository-Level Context Utilization in Code Generation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25770"
  },
  {
    "id": "2603.25769",
    "title": "IncreRTL: Traceability-Guided Incremental RTL Generation under Requirement Evolution",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25769"
  },
  {
    "id": "2603.25768",
    "title": "UCAgent: An End-to-End Agent for Block-Level Functional Verification",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25768"
  },
  {
    "id": "2603.25767",
    "title": "Unlocking Strong Supervision: A Data-Centric Study of General-Purpose Audio Pre-Training Methods",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25767"
  },
  {
    "id": "2603.25766",
    "title": "ETA-VLA: Efficient Token Adaptation via Temporal Fusion and Intra-LLM Sparsification for Vision-Language-Action Models",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25766"
  },
  {
    "id": "2603.25764",
    "title": "Consistency Amplifies: How Behavioral Variance Shapes Agent Accuracy",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25764"
  },
  {
    "id": "2603.25763",
    "title": "CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25763"
  },
  {
    "id": "2603.25758",
    "title": "A-SelecT: Automatic Timestep Selection for Diffusion Transformer Representation Learning",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25758"
  },
  {
    "id": "2603.25755",
    "title": "KANEL: Kolmogorov-Arnold Network Ensemble Learning Enables Early Hit Enrichment in High-Throughput Virtual Screening",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25755"
  },
  {
    "id": "2603.25752",
    "title": "Relational graph-driven differential denoising and diffusion attention fusion for multimodal conversation emotion recognition",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25752"
  },
  {
    "id": "2603.25750",
    "title": "Sommelier: Scalable Open Multi-turn Audio Pre-processing for Full-duplex Speech Language Models",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25750"
  },
  {
    "id": "2603.25749",
    "title": "A Lightweight, Transferable, and Self-Adaptive Framework for Intelligent DC Arc-Fault Detection in Photovoltaic Systems",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25749"
  },
  {
    "id": "2603.25747",
    "title": "BeSafe-Bench: Unveiling Behavioral Safety Risks of Situated Agents in Functional Environments",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25747"
  },
  {
    "id": "2603.25670",
    "title": "Uncertainty-Guided Label Rebalancing for CPS Safety Monitoring",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25670"
  },
  {
    "id": "2603.25538",
    "title": "Missing-Aware Multimodal Fusion for Unified Microservice Incident Management",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25538"
  },
  {
    "id": "2603.25403",
    "title": "Shape and Substance: Dual-Layer Side-Channel Attacks on Local Vision-Language Models",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25403"
  },
  {
    "id": "2603.25197",
    "title": "The Competence Shadow: Theory and Bounds of AI Assistance in Safety Engineering",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25197"
  },
  {
    "id": "2603.25051",
    "title": "Approaches to Analysing Historical Newspapers Using LLMs",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25051"
  },
  {
    "id": "2603.25039",
    "title": "Uncertainty Quantification for Quantum Computing",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25039"
  },
  {
    "id": "2603.25008",
    "title": "Few TensoRF: Enhance the Few-shot on Tensorial Radiance Fields",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.25008"
  },
  {
    "id": "2603.24999",
    "title": "Efficient Detection of Bad Benchmark Items with Novel Scalability Coefficients",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.24999"
  },
  {
    "id": "2603.24763",
    "title": "Binary Expansion Group Intersection Network",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.24763"
  },
  {
    "id": "2603.24226",
    "title": "UniScale: Synergistic Entire Space Data and Model Scaling for Search Ranking",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.24226"
  },
  {
    "id": "2603.24124",
    "title": "The Alignment Tax: Response Homogenization in Aligned LLMs and Its Implications for Uncertainty Estimation",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.24124"
  },
  {
    "id": "2603.24012",
    "title": "CVPD at QIAS 2026: RAG-Guided LLM Reasoning for Al-Mawarith Share Computation and Heir Allocation",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.24012"
  },
  {
    "id": "2603.23899",
    "title": "SM-Net: Learning a Continuous Spectral Manifold from Multiple Stellar Libraries",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.23899"
  },
  {
    "id": "2603.23629",
    "title": "Steering Code LLMs with Activation Directions for Language and Library Control",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.23629"
  },
  {
    "id": "2603.23610",
    "title": "Environment Maps: Structured Environmental Representations for Long-Horizon Agents",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.23610"
  },
  {
    "id": "2603.23582",
    "title": "AI Generalisation Gap In Comorbid Sleep Disorder Staging",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.23582"
  },
  {
    "id": "2603.23533",
    "title": "MDKeyChunker: Single-Call LLM Enrichment with Rolling Keys and Key-Based Restructuring for High-Accuracy RAG",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.23533"
  },
  {
    "id": "2603.22918",
    "title": "EVA: Efficient Reinforcement Learning for End-to-End Video Agent",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.22918"
  },
  {
    "id": "2603.22885",
    "title": "A Heterogeneous Long-Micro Scale Cascading Architecture for General Aviation Health Management",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.22885"
  },
  {
    "id": "2603.22808",
    "title": "Combinatorial Privacy: Private Multi-Party Bitstream Grand Sum by Hiding in Birkhoff Polytopes",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.22808"
  },
  {
    "id": "2603.22755",
    "title": "KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-Hoc Cooperative LLM Training",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.22755"
  },
  {
    "id": "2603.22348",
    "title": "COMPASS-Hedge: Learning Safely Without Knowing the World",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.22348"
  },
  {
    "id": "2603.22325",
    "title": "Hybrid Associative Memories",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.22325"
  },
  {
    "id": "2603.22273",
    "title": "Decoupling Exploration and Policy Optimization: Uncertainty Guided Tree Search for Hard Exploration",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.22273"
  },
  {
    "id": "2603.21606",
    "title": "mSFT: Addressing Dataset Mixtures Overfitting Heterogeneously in Multi-task SFT",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.21606"
  },
  {
    "id": "2603.21440",
    "title": "KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.21440"
  },
  {
    "id": "2603.21039",
    "title": "Benchmarking Scientific Machine Learning Models for Air Quality Data",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.21039"
  },
  {
    "id": "2603.20907",
    "title": "The Hidden Puppet Master: Predicting Human Belief Change in Manipulative LLM Dialogues",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.20907"
  },
  {
    "id": "2603.20833",
    "title": "Governance-Aware Vector Subscriptions for Multi-Agent Knowledge Ecosystems",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.20833"
  },
  {
    "id": "2603.20654",
    "title": "Modernizing Amdahl's Law: How AI Scaling Laws Shape Computer Architecture",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.20654"
  },
  {
    "id": "2603.19562",
    "title": "Neural Uncertainty Principle: A Unified View of Adversarial Fragility and LLM Hallucination",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.19562"
  },
  {
    "id": "2603.19329",
    "title": "Goedel-Code-Prover: Hierarchical Proof Search for Open State-of-the-Art Code Verification",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.19329"
  },
  {
    "id": "2603.18940",
    "title": "Entropy trajectory shape predicts LLM reasoning reliability: A diagnostic study of uncertainty dynamics in chain-of-thought",
    "categories": [
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.18940"
  },
  {
    "id": "2603.18349",
    "title": "Large-Scale Analysis of Persuasive Content on Moltbook",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.18349"
  },
  {
    "id": "2603.17233",
    "title": "Draft-and-Prune: Improving the Reliability of Auto-formalization for Logical Reasoning",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.17233"
  },
  {
    "id": "2603.16629",
    "title": "MLLM-based Textual Explanations for Face Comparison",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.16629"
  },
  {
    "id": "2603.15636",
    "title": "AIDABench: AI Data Analytics Benchmark",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.15636"
  },
  {
    "id": "2603.15195",
    "title": "Massive Redundancy in Gradient Transport Enables Sparse Online Learning",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.15195"
  },
  {
    "id": "2603.15159",
    "title": "To See is Not to Master: Teaching LLMs to Use Private Libraries for Code Generation",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.15159"
  },
  {
    "id": "2603.14688",
    "title": "AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.14688"
  },
  {
    "id": "2603.14375",
    "title": "The Pulse of Motion: Measuring Physical Frame Rate from Visual Dynamics",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.14375"
  },
  {
    "id": "2603.14267",
    "title": "DiFlowDubber: Discrete Flow Matching for Automated Video Dubbing via Cross-Modal Alignment and Synchronization",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.14267"
  },
  {
    "id": "2603.12366",
    "title": "Sinkhorn-Drifting Generative Models",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.12366"
  },
  {
    "id": "2603.12206",
    "title": "CLASP: Defending Hybrid Large Language Models Against Hidden State Poisoning Attacks",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.12206"
  },
  {
    "id": "2603.11601",
    "title": "See, Symbolize, Act: Grounding VLMs with Spatial Representations for Better Gameplay",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.11601"
  },
  {
    "id": "2603.04334",
    "title": "SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2603.04334"
  },
  {
    "id": "2603.02842",
    "title": "A Browser-based Open Source Assistant for Multimodal Content Verification",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2603.02842"
  },
  {
    "id": "2603.02460",
    "title": "Conformal Graph Prediction with Z-Gromov Wasserstein Distances",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.02460"
  },
  {
    "id": "2603.02080",
    "title": "From Pixels to Patches: Pooling Strategies for Earth Embeddings",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2603.02080"
  },
  {
    "id": "2602.24262",
    "title": "Coverage-Aware Web Crawling for Domain-Specific Supplier Discovery via a Web--Knowledge--Web Pipeline",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2602.24262"
  },
  {
    "id": "2602.22479",
    "title": "Efficient Continual Learning in Language Models via Thalamically Routed Cortical Columns",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2602.22479"
  },
  {
    "id": "2602.21361",
    "title": "Towards single-shot coherent imaging via overlap-free ptychography",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2602.21361"
  },
  {
    "id": "2602.20396",
    "title": "cc-Shapley: Measuring Multivariate Feature Importance Needs Causal Context",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2602.20396"
  },
  {
    "id": "2602.20207",
    "title": "Golden Layers and Where to Find Them: Improved Knowledge Editing for Large Language Models Via Layer Gradient Analysis",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2602.20207"
  },
  {
    "id": "2602.19623",
    "title": "PedaCo-Gen: Scaffolding Pedagogical Agency in Human-AI Collaborative Video Authoring",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2602.19623"
  },
  {
    "id": "2602.19157",
    "title": "Facet-Level Persona Control by Trait-Activated Routing with Contrastive SAE for Role-Playing LLMs",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2602.19157"
  },
  {
    "id": "2602.18846",
    "title": "DUET-VLM: Dual stage Unified Efficient Token reduction for VLM Training and Inference",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2602.18846"
  },
  {
    "id": "2602.13298",
    "title": "The Effective Depth Paradox: Evaluating the Relationship between Architectural Topology and Trainability in Deep CNNs",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2602.13298"
  },
  {
    "id": "2602.13151",
    "title": "Quantization-Robust LLM Unlearning via Low-Rank Adaptation",
    "categories": [
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2602.13151"
  },
  {
    "id": "2602.12137",
    "title": "CitiLink-Minutes: A Multilayer Annotated Dataset of Municipal Meeting Minutes",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2602.12137"
  },
  {
    "id": "2602.11937",
    "title": "Extending Puzzle for Mixture-of-Experts Reasoning Models with Application to GPT-OSS Acceleration",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2602.11937"
  },
  {
    "id": "2602.11391",
    "title": "Advancing AI Trustworthiness Through Patient Simulation: Risk Assessment of Conversational Agents for Antidepressant Selection",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2602.11391"
  },
  {
    "id": "2602.09678",
    "title": "Administrative Law's Fourth Settlement: AI and the Capability-Accountability Trap",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2602.09678"
  },
  {
    "id": "2602.08316",
    "title": "SWE Context Bench: A Benchmark for Context Learning in Coding",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2602.08316"
  },
  {
    "id": "2602.08277",
    "title": "PISCO: Precise Video Instance Insertion with Sparse Control",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2602.08277"
  },
  {
    "id": "2602.07374",
    "title": "TernaryLM: Memory-Efficient Language Modeling via Native 1.5-Bit Quantization with Adaptive Layer-wise Scaling",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2602.07374"
  },
  {
    "id": "2602.00316",
    "title": "MiNER: A Two-Stage Pipeline for Metadata Extraction from Municipal Meeting Minutes",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2602.00316"
  },
  {
    "id": "2602.00095",
    "title": "EDU-CIRCUIT-HW: Evaluating Multimodal Large Language Models on Real-World University-Level STEM Student Handwritten Solutions",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2602.00095"
  },
  {
    "id": "2601.22440",
    "title": "AI and My Values: User Perceptions of LLMs' Ability to Extract, Embody, and Explain Human Values from Casual Conversations",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2601.22440"
  },
  {
    "id": "2601.21419",
    "title": "Revisiting Diffusion Model Predictions Through Dimensionality",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2601.21419"
  },
  {
    "id": "2601.19933",
    "title": "NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2601.19933"
  },
  {
    "id": "2601.19490",
    "title": "ClaimPT: A Portuguese Dataset of Annotated Claims in News Articles",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2601.19490"
  },
  {
    "id": "2601.19302",
    "title": "Formula-One Prompting: Equation-First Reasoning For Applied Mathematics",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2601.19302"
  },
  {
    "id": "2601.18374",
    "title": "CitiLink: Enhancing Municipal Transparency and Citizen Engagement through Searchable Meeting Minutes",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2601.18374"
  },
  {
    "id": "2601.17468",
    "title": "ReflexSplit: Single Image Reflection Separation via Layer Fusion-Separation",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2601.17468"
  },
  {
    "id": "2601.13622",
    "title": "CARPE: Context-Aware Image Representation Prioritization via Ensemble for Large Vision-Language Models",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2601.13622"
  },
  {
    "id": "2601.13227",
    "title": "Insider Knowledge: How Much Can RAG Systems Gain from Evaluation Secrets?",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2601.13227"
  },
  {
    "id": "2601.13222",
    "title": "Incorporating Q&A Nuggets into Retrieval-Augmented Generation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2601.13222"
  },
  {
    "id": "2601.11214",
    "title": "T$^\\star$: Progressive Block Scaling for Masked Diffusion Language Models Through Trajectory Aware Reinforcement Learning",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2601.11214"
  },
  {
    "id": "2601.08323",
    "title": "AtomMem : Learnable Dynamic Agentic Memory with Atomic Memory Operation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2601.08323"
  },
  {
    "id": "2601.07855",
    "title": "RoAD Benchmark: How LiDAR Models Fail under Coupled Domain Shifts and Label Evolution",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2601.07855"
  },
  {
    "id": "2601.05529",
    "title": "Before We Trust Them: Decision-Making Failures in Navigation of Foundation Models",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2601.05529"
  },
  {
    "id": "2601.00680",
    "title": "Sigmoid Head for Quality Estimation under Language Ambiguity",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2601.00680"
  },
  {
    "id": "2512.24694",
    "title": "Mobility-Assisted Decentralized Federated Learning: Convergence Analysis and A Data-Driven Approach",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2512.24694"
  },
  {
    "id": "2512.20660",
    "title": "The Dual-State Architecture for Reliable LLM Agents",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2512.20660"
  },
  {
    "id": "2512.20620",
    "title": "Uncovering Patterns of Brain Activity from EEG Data Consistently Associated with Cybersickness Using Neural Network Interpretability Maps",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2512.20620"
  },
  {
    "id": "2512.18921",
    "title": "Concurrent training methods for Kolmogorov-Arnold networks: Disjoint datasets and FPGA implementation",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2512.18921"
  },
  {
    "id": "2512.16378",
    "title": "Hearing to Translate: The Effectiveness of Speech Modality Integration into LLMs",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2512.16378"
  },
  {
    "id": "2512.16145",
    "title": "MRG-R1: Reinforcement Learning for Clinically Aligned Medical Report Generation",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2512.16145"
  },
  {
    "id": "2512.14549",
    "title": "Dual-objective Language Models: Training Efficiency Without Overfitting",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2512.14549"
  },
  {
    "id": "2512.14150",
    "title": "PathFinder: Advancing Path Loss Prediction for Single-to-Multi-Transmitter Scenario",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2512.14150"
  },
  {
    "id": "2512.14080",
    "title": "SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2512.14080"
  },
  {
    "id": "2512.13607",
    "title": "Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2512.13607"
  },
  {
    "id": "2512.13442",
    "title": "XNNTab -- Interpretable Neural Networks for Tabular Data using Sparse Autoencoders",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2512.13442"
  },
  {
    "id": "2512.11798",
    "title": "Particulate: Feed-Forward 3D Object Articulation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2512.11798"
  },
  {
    "id": "2512.08777",
    "title": "Fluent Alignment with Disfluent Judges: Post-training for Lower-resource Languages",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2512.08777"
  },
  {
    "id": "2512.08029",
    "title": "CLARITY: Medical World Model for Guiding Treatment Decisions by Modeling Context-Aware Disease Trajectories in Latent Space",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2512.08029"
  },
  {
    "id": "2512.02650",
    "title": "Hear What Matters! Text-conditioned Selective Video-to-Audio Generation",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2512.02650"
  },
  {
    "id": "2512.02425",
    "title": "WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2512.02425"
  },
  {
    "id": "2512.01707",
    "title": "StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2512.01707"
  },
  {
    "id": "2511.22265",
    "title": "FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2511.22265"
  },
  {
    "id": "2511.21075",
    "title": "Aligning LLMs with Biomedical Knowledge using Balanced Fine-Tuning",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2511.21075"
  },
  {
    "id": "2511.19669",
    "title": "HeaRT: A Hierarchical Circuit Reasoning Tree-Based Agentic Framework for AMS Design Optimization",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2511.19669"
  },
  {
    "id": "2511.18746",
    "title": "Any4D: Open-Prompt 4D Generation from Natural Language and Images",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2511.18746"
  },
  {
    "id": "2511.17339",
    "title": "ReBaPL: Repulsive Bayesian Prompt Learning",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2511.17339"
  },
  {
    "id": "2511.15613",
    "title": "When to Think and When to Look: Uncertainty-Guided Lookback",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2511.15613"
  },
  {
    "id": "2511.14510",
    "title": "LiteCache: A Query Similarity-Driven, GPU-Centric KVCache Subsystem for Efficient LLM Inference",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2511.14510"
  },
  {
    "id": "2511.10983",
    "title": "Binary Verification for Zero-Shot Vision",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2511.10983"
  },
  {
    "id": "2511.10938",
    "title": "Cascading Bandits With Feedback",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2511.10938"
  },
  {
    "id": "2511.10876",
    "title": "Architecting software monitors for control-flow anomaly detection through large language models and conformance checking",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2511.10876"
  },
  {
    "id": "2511.09675",
    "title": "PriVi: Towards A General-Purpose Video Model For Primate Behavior In The Wild",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2511.09675"
  },
  {
    "id": "2511.07280",
    "title": "The Value of Personalized Recommendations: Evidence from Netflix",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2511.07280"
  },
  {
    "id": "2511.06494",
    "title": "Route Experts by Sequence, not by Token",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2511.06494"
  },
  {
    "id": "2511.04235",
    "title": "Shared Spatial Memory Through Predictive Coding",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2511.04235"
  },
  {
    "id": "2511.02531",
    "title": "Causal Graph Neural Networks for Healthcare",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2511.02531"
  },
  {
    "id": "2511.00810",
    "title": "GUI-AIMA: Aligning Intrinsic Multimodal Attention with a Context Anchor for GUI Grounding",
    "categories": [
      "cs.AI",
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2511.00810"
  },
  {
    "id": "2510.27643",
    "title": "Bayesian Optimization on Networks",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2510.27643"
  },
  {
    "id": "2510.24133",
    "title": "Compositional Image Synthesis with Inference-Time Scaling",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2510.24133"
  },
  {
    "id": "2510.21011",
    "title": "Generating the Modal Worker: A Cross-Model Audit of Race and Gender in LLM-Generated Personas Across 41 Occupations",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2510.21011"
  },
  {
    "id": "2510.13227",
    "title": "Altruistic Ride Sharing: A Framework for Fair and Sustainable Urban Mobility via Peer-to-Peer Incentives",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2510.13227"
  },
  {
    "id": "2510.12834",
    "title": "Gelina: Unified Speech and Gesture Synthesis via Interleaved Token Prediction",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2510.12834"
  },
  {
    "id": "2510.08222",
    "title": "Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2510.08222"
  },
  {
    "id": "2510.06882",
    "title": "Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2510.06882"
  },
  {
    "id": "2510.06692",
    "title": "Is the Hard-Label Cryptanalytic Model Extraction Really Polynomial?",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2510.06692"
  },
  {
    "id": "2510.05516",
    "title": "NeST-BO: Fast Local Bayesian Optimization via Newton-Step Targeting of Gradient and Hessian Information",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2510.05516"
  },
  {
    "id": "2510.04309",
    "title": "Activation Steering with a Feedback Controller",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2510.04309"
  },
  {
    "id": "2510.03223",
    "title": "Attention-Aligned Reasoning for Large Language Models",
    "categories": [
      "cs.AI",
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2510.03223"
  },
  {
    "id": "2510.01448",
    "title": "GeoSURGE: Geo-localization using Semantic Fusion with Hierarchy of Geographic Embeddings",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2510.01448"
  },
  {
    "id": "2510.00526",
    "title": "Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum",
    "categories": [
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2510.00526"
  },
  {
    "id": "2510.00316",
    "title": "Large Language Models Can Perform Automatic Modulation Classification via Discretized Self-supervised Candidate Retrieval",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2510.00316"
  },
  {
    "id": "2509.24779",
    "title": "MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2509.24779"
  },
  {
    "id": "2509.24207",
    "title": "Humanline: Online Alignment as Perceptual Loss",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2509.24207"
  },
  {
    "id": "2509.22225",
    "title": "ExtrinSplat: Decoupling Geometry and Semantics for Open-Vocabulary Understanding in 3D Gaussian Splatting",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2509.22225"
  },
  {
    "id": "2509.21891",
    "title": "AgentPack: A Dataset of Code Changes, Co-Authored by Agents and Humans",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2509.21891"
  },
  {
    "id": "2509.15695",
    "title": "ORIC: Benchmarking Object Recognition under Contextual Incongruity in Large Vision-Language Models",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2509.15695"
  },
  {
    "id": "2509.15219",
    "title": "Out-of-Sight Embodied Agents: Multimodal Tracking, Sensor Fusion, and Trajectory Forecasting",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2509.15219"
  },
  {
    "id": "2509.00841",
    "title": "Neural Models and Language Model Prompting for the Multidimensional Evaluation of Open-Ended Conversations",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2509.00841"
  },
  {
    "id": "2508.14765",
    "title": "PepThink-R1: LLM for Interpretable Cyclic Peptide Optimization with CoT SFT and Reinforcement Learning",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2508.14765"
  },
  {
    "id": "2508.09165",
    "title": "Masked Training for Robust Arrhythmia Detection from Digitalized Multiple Layout ECG Images",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2508.09165"
  },
  {
    "id": "2508.02835",
    "title": "Defending Against Knowledge Poisoning Attacks During Retrieval-Augmented Generation",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2508.02835"
  },
  {
    "id": "2508.00500",
    "title": "ProbGuard: Probabilistic Runtime Monitoring for LLM Agent Safety",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2508.00500"
  },
  {
    "id": "2508.00307",
    "title": "Acoustic Imaging for UAV Detection: Dense Beamformed Energy Maps and U-Net SELD",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2508.00307"
  },
  {
    "id": "2507.09011",
    "title": "From dots to faces: Individual differences in visual imagery capacity predict the content of Ganzflicker-induced hallucinations",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2507.09011"
  },
  {
    "id": "2507.05064",
    "title": "Vecchia-Inducing-Points Full-Scale Approximations for Gaussian Processes",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2507.05064"
  },
  {
    "id": "2507.03745",
    "title": "StreamDiT: Real-Time Streaming Text-to-Video Generation",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2507.03745"
  },
  {
    "id": "2507.03005",
    "title": "Beyond cognacy",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2507.03005"
  },
  {
    "id": "2506.20964",
    "title": "Evidence-based diagnostic reasoning with multi-agent copilot for human pathology",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2506.20964"
  },
  {
    "id": "2506.09851",
    "title": "Advancing Exchange Rate Forecasting: Leveraging Machine Learning and AI for Enhanced Accuracy in Global Financial Markets",
    "categories": [
      "cs.CL",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2506.09851"
  },
  {
    "id": "2505.20353",
    "title": "FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2505.20353"
  },
  {
    "id": "2505.17080",
    "title": "Not Minds, but Signs: Reframing LLMs through Semiotics",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2505.17080"
  },
  {
    "id": "2505.11577",
    "title": "The Accountability Paradox: How Platform API Restrictions Undermine AI Transparency Mandates",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2505.11577"
  },
  {
    "id": "2505.11006",
    "title": "Is Supervised Learning Really That Different from Unsupervised?",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2505.11006"
  },
  {
    "id": "2505.09364",
    "title": "Diffusion Recommender Models and the Illusion of Progress: A Concerning Study of Reproducibility and a Conceptual Mismatch",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2505.09364"
  },
  {
    "id": "2504.17696",
    "title": "Hierarchical and Multimodal Data for Daily Activity Understanding",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2504.17696"
  },
  {
    "id": "2504.05654",
    "title": "Curved representational Bregman divergences and their applications",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2504.05654"
  },
  {
    "id": "2503.23866",
    "title": "A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2503.23866"
  },
  {
    "id": "2503.22886",
    "title": "Task Tokens: A Flexible Approach to Adapting Behavior Foundation Models",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2503.22886"
  },
  {
    "id": "2503.07823",
    "title": "Reproducibility and Artifact Consistency of the SIGIR 2022 Recommender Systems Papers Based on Message Passing",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2503.07823"
  },
  {
    "id": "2503.03399",
    "title": "Robust Predictive Modeling Under Unseen Data Distribution Shifts: A Methodological Commentary",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2503.03399"
  },
  {
    "id": "2502.14950",
    "title": "Symmetric observations without symmetric causal explanations",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2502.14950"
  },
  {
    "id": "2502.13592",
    "title": "Don't Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2502.13592"
  },
  {
    "id": "2502.09867",
    "title": "DesignWeaver: Dimensional Scaffolding for Text-to-Image Product Design",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2502.09867"
  },
  {
    "id": "2502.01557",
    "title": "How iteration order influences convergence and stability in deep learning",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2502.01557"
  },
  {
    "id": "2502.00672",
    "title": "Biogeochemistry-Informed Neural Network (BINN) for Improving Accuracy of Model Prediction and Scientific Understanding of Soil Organic Carbon",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2502.00672"
  },
  {
    "id": "2502.00262",
    "title": "INSIGHT: Enhancing Autonomous Driving Safety through Vision-Language Models on Context-Aware Hazard Detection and Edge Case Evaluation",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2502.00262"
  },
  {
    "id": "2501.16919",
    "title": "Projection-free Algorithms for Online Convex Optimization with Adversarial Constraints",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2501.16919"
  },
  {
    "id": "2501.05765",
    "title": "Deontic Temporal Logic for Formal Verification of AI Ethics",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2501.05765"
  },
  {
    "id": "2501.04828",
    "title": "Building Foundations for Natural Language Processing of Historical Turkish: Resources and Models",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2501.04828"
  },
  {
    "id": "2412.04882",
    "title": "Nonmyopic Global Optimisation via Approximate Dynamic Programming",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2412.04882"
  },
  {
    "id": "2411.12964",
    "title": "Efficient Energy-Optimal Path Planning for Electric Vehicles Considering Vehicle Dynamics",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2411.12964"
  },
  {
    "id": "2410.19733",
    "title": "ReMe: Scaffolding Personalized Cognitive Training via Controllable LLM-Mediated Conversations",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2410.19733"
  },
  {
    "id": "2408.15561",
    "title": "CGRA4ML: A Hardware/Software Framework to Implement Neural Networks for Scientific Edge Computing",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2408.15561"
  },
  {
    "id": "2407.19660",
    "title": "Towards Knowledge Guided Pretraining Approaches for Multimodal Foundation Models: Applications in Remote Sensing",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2407.19660"
  },
  {
    "id": "2406.12009",
    "title": "FinTruthQA: A Benchmark for AI-Driven Financial Disclosure Quality Assessment in Investor -- Firm Interactions",
    "categories": [
      "cs.CL"
    ],
    "pdf": "https://arxiv.org/pdf/2406.12009"
  },
  {
    "id": "2406.06751",
    "title": "Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy Gradients",
    "categories": [
      "cs.AI",
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2406.06751"
  },
  {
    "id": "2405.18248",
    "title": "Extreme Value Monte Carlo Tree Search for Classical Planning",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2405.18248"
  },
  {
    "id": "2405.00181",
    "title": "Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2405.00181"
  },
  {
    "id": "2402.07153",
    "title": "Error Estimation for Physics-informed Neural Networks Approximating Semilinear Wave Equations",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2402.07153"
  },
  {
    "id": "2312.10666",
    "title": "CACTO-SL: Using Sobolev Learning to improve Continuous Actor-Critic with Trajectory Optimization",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2312.10666"
  },
  {
    "id": "2305.09840",
    "title": "Scale-Adaptive Balancing of Exploration and Exploitation in Classical Planning",
    "categories": [
      "cs.AI"
    ],
    "pdf": "https://arxiv.org/pdf/2305.09840"
  },
  {
    "id": "2203.16263",
    "title": "Does Audio Deepfake Detection Generalize?",
    "categories": [
      "cs.LG"
    ],
    "pdf": "https://arxiv.org/pdf/2203.16263"
  }
]