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Gauge Freedom and Metric Dependence in Neural Representation Spaces
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HGT-Scheduler: Deep Reinforcement Learning for the Job Shop Scheduling Problem via Heterogeneous Graph Transformers
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Artificial Intelligence for Detecting Fetal Orofacial Clefts and Advancing Medical Education
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AV-Unified: A Unified Framework for Audio-visual Scene Understanding
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Spatial Calibration of Diffuse LiDARs
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NEGATE: Constrained Semantic Guidance for Linguistic Negation in Text-to-Video Diffusion
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SpatialMAGIC: A Hybrid Framework Integrating Graph Diffusion and Spatial Attention for Spatial Transcriptomics Imputation
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RAMoEA-QA: Hierarchical Specialization for Robust Respiratory Audio Question Answering
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SurgFormer: Scalable Learning of Organ Deformation with Resection Support and Real-Time Inference
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Modeling and Measuring Redundancy in Multisource Multimodal Data for Autonomous Driving
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LiveSense: A Real-Time Wi-Fi Sensing Platform for Range-Doppler on COTS Laptop
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KCLarity at SemEval-2026 Task 6: Encoder and Zero-Shot Approaches to Political Evasion Detection
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Hierarchical Industrial Demand Forecasting with Temporal and Uncertainty Explanations
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xaitimesynth: A Python Package for Evaluating Attribution Methods for Time Series with Synthetic Ground Truth
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Causal Interpretation of Neural Network Computations with Contribution Decomposition
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EgoReasoner: Learning Egocentric 4D Reasoning via Task-Adaptive Structured Thinking
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Physics-Informed Diffusion Model for Generating Synthetic Extreme Rare Weather Events Data
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Boosting deep Reinforcement Learning using pretraining with Logical Options
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A recipe for scalable attention-based MLIPs: unlocking long-range accuracy with all-to-all node attention
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Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders
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SUREON: A Benchmark and Vision-Language-Model for Surgical Reasoning
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SCOPE: Scene-Contextualized Incremental Few-Shot 3D Segmentation
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Fly360: Omnidirectional Obstacle Avoidance within Drone View
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BEVLM: Distilling Semantic Knowledge from LLMs into Bird's-Eye View Representations
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Multimodal Large Language Models as Image Classifiers
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Optimistic Policy Regularization
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Best-of-Tails: Bridging Optimism and Pessimism in Inference-Time Alignment
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NEST: Network- and Memory-Aware Device Placement For Distributed Deep Learning
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Breaking the Martingale Curse: Multi-Agent Debate via Asymmetric Cognitive Potential Energy
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A Hybrid Machine Learning Model for Cerebral Palsy Detection
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Multi-Agent Reinforcement Learning with Submodular Reward
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Making AI Evaluation Deployment Relevant Through Context Specification
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Reinforcing the World's Edge: A Continual Learning Problem in the Multi-Agent-World Boundary
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AI-Assisted Curation of Conference Scholarship: Compiling, Structuring, and Analyzing Two Decades of Presentations at the Society for Social Work and Research
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"Dark Triad" Model Organisms of Misalignment: Narrow Fine-Tuning Mirrors Human Antisocial Behavior
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CREDO: Epistemic-Aware Conformalized Credal Envelopes for Regression
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Step-Level Visual Grounding Faithfulness Predicts Out-of-Distribution Generalization in Long-Horizon Vision-Language Models
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Joint 3D Gravity and Magnetic Inversion via Rectified Flow and Ginzburg-Landau Guidance
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Validation of a Small Language Model for DSM-5 Substance Category Classification in Child Welfare Records
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MotionBits: Video Segmentation through Motion-Level Analysis of Rigid Bodies
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Twitch: Learning Abstractions for Equational Theorem Proving
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Bilateral Trade Under Heavy-Tailed Valuations: Minimax Regret with Infinite Variance
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Active View Selection with Perturbed Gaussian Ensemble for Tomographic Reconstruction
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An Extended Topological Model For High-Contrast Optical Flow
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Are Audio-Language Models Listening? Audio-Specialist Heads for Adaptive Audio Steering
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Contextual Counterfactual Credit Assignment for Multi-Agent Reinforcement Learning in LLM Collaboration
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ColonSplat: Reconstruction of Peristaltic Motion in Colonoscopy with Dynamic Gaussian Splatting
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IGLU: The Integrated Gaussian Linear Unit Activation Function
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Supporting Artifact Evaluation with LLMs: A Study with Published Security Research Papers
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A prior information informed learning architecture for flying trajectory prediction
