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Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
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Robust Batch-Level Query Routing for Large Language Models under Cost and Capacity Constraints
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NeuroVLM-Bench: Evaluation of Vision-Enabled Large Language Models for Clinical Reasoning in Neurological Disorders
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CORA: A Pathology Synthesis Driven Foundation Model for Coronary CT Angiography Analysis and MACE Risk Assessment
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Gaze patterns predict preference and confidence in pairwise AI image evaluation
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Towards automatic smoke detector inspection: Recognition of the smoke detectors in industrial facilities and preparation for future drone integration
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Resisting Humanization: Ethical Front-End Design Choices in AI for Sensitive Contexts
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SentinelAI: A Multi-Agent Framework for Structuring and Linking NG9-1-1 Emergency Incident Data
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AI Security in the Foundation Model Era: A Comprehensive Survey from a Unified Perspective
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How Far Are Vision-Language Models from Constructing the Real World? A Benchmark for Physical Generative Reasoning
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OptiSAR-Net++: A Large-Scale Benchmark and Transformer-Free Framework for Cross-Domain Remote Sensing Visual Grounding
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More Than "Means to an End": Supporting Reasoning with Transparently Designed AI Data Science Processes
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Learning to Staff: Offline Reinforcement Learning and Fine-Tuned LLMs for Warehouse Staffing Optimization
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Claudini: Autoresearch Discovers State-of-the-Art Adversarial Attack Algorithms for LLMs
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Benchmarking Multi-Agent LLM Architectures for Financial Document Processing: A Comparative Study of Orchestration Patterns, Cost-Accuracy Tradeoffs and Production Scaling Strategies
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Generalizing Dynamics Modeling More Easily from Representation Perspective
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Large-Scale Avalanche Mapping from SAR Images with Deep Learning-based Change Detection
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Bounding Box Anomaly Scoring for simple and efficient Out-of-Distribution detection
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Improving LLM Predictions via Inter-Layer Structural Encoders
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Vision-based Deep Learning Analysis of Unordered Biomedical Tabular Datasets via Optimal Spatial Cartography
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MuQ-Eval: An Open-Source Per-Sample Quality Metric for AI Music Generation Evaluation
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GeoTikzBridge: Advancing Multimodal Code Generation for Geometric Perception and Reasoning
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Think 360°: Evaluating the Width-centric Reasoning Capability of MLLMs Beyond Depth
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WiFi2Cap: Semantic Action Captioning from Wi-Fi CSI via Limb-Level Semantic Alignment
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Coordinate Encoding on Linear Grids for Physics-Informed Neural Networks
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TimeWeaver: Age-Consistent Reference-Based Face Restoration with Identity Preservation
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Synthetic or Authentic? Building Mental Patient Simulators from Longitudinal Evidence
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How Far Can VLMs Go for Visual Bug Detection? Studying 19,738 Keyframes from 41 Hours of Gameplay Videos
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Detecting Non-Membership in LLM Training Data via Rank Correlations
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Who Spoke What When? Evaluating Spoken Language Models for Conversational ASR with Semantic and Overlap-Aware Metrics
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Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Role of Bellman Constraints
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PopResume: Causal Fairness Evaluation of LLM/VLM Resume Screeners with Population-Representative Dataset
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Labeled Compression Schemes for Concept Classes of Finite Functions
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HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment
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Double Coupling Architecture and Training Method for Optimization Problems of Differential Algebraic Equations with Parameters
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Spiking Personalized Federated Learning for Brain-Computer Interface-Enabled Immersive Communication
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Behavioral Heterogeneity as Quantum-Inspired Representation
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How Utilitarian Are OpenAI's Models Really? Replicating and Reinterpreting Pfeffer, Krügel, and Uhl (2025)
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SOUPLE: Enhancing Audio-Visual Localization and Segmentation with Learnable Prompt Contexts
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Explanation Generation for Contradiction Reconciliation with LLMs
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Multitask-Informed Prior for In-Context Learning on Tabular Data: Application to Steel Property Prediction
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Algorithmic warm starts for Hamiltonian Monte Carlo
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Beyond Binary Correctness: Scaling Evaluation of Long-Horizon Agents on Subjective Enterprise Tasks
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REALITrees: Rashomon Ensemble Active Learning for Interpretable Trees
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CLiGNet: Clinical Label-Interaction Graph Network for Medical Specialty Classification from Clinical Transcriptions
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PRISM: A Dual View of LLM Reasoning through Semantic Flow and Latent Computation
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KALAVAI: Predicting When Independent Specialist Fusion Works -- A Quantitative Model for Post-Hoc Cooperative LLM Training
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MVPBench: A Multi-Video Perception Evaluation Benchmark for Multi-Modal Video Understanding
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Multimodal Industrial Anomaly Detection via Geometric Prior
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Reconstruction-Guided Slot Curriculum: Addressing Object Over-Fragmentation in Video Object-Centric Learning
