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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
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Counting on Consensus: Selecting the Right Inter-annotator Agreement Metric for NLP Annotation and Evaluation
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Symmetry-Constrained Language-Guided Program Synthesis for Discovering Governing Equations from Noisy and Partial Observations
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LEAD: Breaking the No-Recovery Bottleneck in Long-Horizon Reasoning
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PICS: Pairwise Image Compositing with Spatial Interactions
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LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models
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Stochastic Attention via Langevin Dynamics on the Modern Hopfield Energy
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Not Too Short, Not Too Long: How LLM Response Length Shapes People's Critical Thinking in Error Detection
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Physics-informed AI Accelerated Retention Analysis of Ferroelectric Vertical NAND: From Day-Scale TCAD to Second-Scale Surrogate Model
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Distributed Legal Infrastructure for a Trustworthy Agentic Web
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OPTED: Open Preprocessed Trachoma Eye Dataset Using Zero-Shot SAM 3 Segmentation
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Enhancing the Detection of Coronary Artery Disease Using Machine Learning
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Single-pass Possibilistic Clustering with Damped Window Footprints
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Learning From Design Procedure To Generate CAD Programs for Data Augmentation
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Fairness May Backfire: When Leveling-Down Occurs in Fair Machine Learning
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Empowering Locally Deployable Medical Agent via State Enhanced Logical Skills for FHIR-based Clinical Tasks
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XGenBoost: Synthesizing Small and Large Tabular Datasets with XGBoost
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MedInjection-FR: Exploring the Role of Native, Synthetic, and Translated Data in Biomedical Instruction Tuning
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Language Shapes Mental Health Evaluations in Large Language Models
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Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents
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A Dynamic Self-Evolving Extraction System
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PaQ-DETR: Learning Pattern and Quality-Aware Dynamic Queries for Object Detection
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DLRMamba: Distilling Low-Rank Mamba for Edge Multispectral Fusion Object Detection
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CN-CBF: Composite Neural Control Barrier Function for Safe Robot Navigation in Dynamic Environments
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NerVE: Nonlinear Eigenspectrum Dynamics in LLM Feed-Forward Networks
