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Federated Learning with Multi-Partner OneFlorida+ Consortium Data for Predicting Major Postoperative Complications
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The Cost of Reasoning: Chain-of-Thought Induces Overconfidence in Vision-Language Models
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GeMA: Learning Latent Manifold Frontiers for Benchmarking Complex Systems
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Understanding Quantization of Optimizer States in LLM Pre-training: Dynamics of State Staleness and Effectiveness of State Resets
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IQuest-Coder-V1 Technical Report
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Differential Harm Propensity in Personalized LLM Agents: The Curious Case of Mental Health Disclosure
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World Reconstruction From Inconsistent Views
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Retrieving Counterfactuals Improves Visual In-Context Learning
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MedCL-Bench: Benchmarking stability-efficiency trade-offs and scaling in biomedical continual learning
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SpecMoE: Spectral Mixture-of-Experts Foundation Model for Cross-Species EEG Decoding
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Bayesian Inference of Psychometric Variables From Brain and Behavior in Implicit Association Tests
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When the City Teaches the Car: Label-Free 3D Perception from Infrastructure
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Nonstandard Errors in AI Agents
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Data-driven forced response analysis with min-max representations of nonlinear restoring forces
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Semi-supervised Latent Disentangled Diffusion Model for Textile Pattern Generation
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Probing Cultural Signals in Large Language Models through Author Profiling
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Formal verification of tree-based machine learning models for lateral spreading
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Finding Common Ground in a Sea of Alternatives
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A Practical Algorithm for Feature-Rich, Non-Stationary Bandit Problems
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pADAM: A Plug-and-Play All-in-One Diffusion Architecture for Multi-Physics Learning
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SuCor: Susceptibility Distortion Correction via Parameter-Free and Self-Regularized Optimal Transport
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TurnWise: The Gap between Single- and Multi-turn Language Model Capabilities
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Dual Stream Independence Decoupling for True Emotion Recognition under Masked Expressions
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SOMP: Scalable Gradient Inversion for Large Language Models via Subspace-Guided Orthogonal Matching Pursuit
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Anticipatory Planning for Multimodal AI Agents
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IOSVLM: A 3D Vision-Language Model for Unified Dental Diagnosis from Intraoral Scans
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SpokenUS: A Spoken User Simulator for Task-Oriented Dialogue
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Conservative Continuous-Time Treatment Optimization
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InCoder-32B: Code Foundation Model for Industrial Scenarios
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V-Co: A Closer Look at Visual Representation Alignment via Co-Denoising
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Adaptive Moments are Surprisingly Effective for Plug-and-Play Diffusion Sampling
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High-Dimensional Gaussian Mean Estimation under Realizable Contamination
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RaDAR: Relation-aware Diffusion-Asymmetric Graph Contrastive Learning for Recommendation
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Integrating Inductive Biases in Transformers via Distillation for Financial Time Series Forecasting
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DexGrasp-Zero: A Morphology-Aligned Policy for Zero-Shot Cross-Embodiment Dexterous Grasping
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CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation
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ODIN-Based CPU-GPU Architecture with Replay-Driven Simulation and Emulation
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Empirical Recipes for Efficient and Compact Vision-Language Models
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Beyond Accuracy: Evaluating Forecasting Models by Multi-Echelon Inventory Cost
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WildDepth: A Multimodal Dataset for 3D Wildlife Perception and Depth Estimation
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Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights
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Surg$Σ$: A Spectrum of Large-Scale Multimodal Data and Foundation Models for Surgical Intelligence
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Deep Reinforcement Learning-driven Edge Offloading for Latency-constrained XR pipelines
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Real-Time Decoding of Movement Onset and Offset for Brain-Controlled Rehabilitation Exoskeleton
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Prompt Programming for Cultural Bias and Alignment of Large Language Models
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Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
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An assessment of data-centric methods for label noise identification in remote sensing data sets
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Learning to Present: Inverse Specification Rewards for Agentic Slide Generation
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What DINO saw: ALiBi positional encoding reduces positional bias in Vision Transformers
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Stochastic Resetting Accelerates Policy Convergence in Reinforcement Learning
