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Data-Local Autonomous LLM-Guided Neural Architecture Search for Multiclass Multimodal Time-Series Classification
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Do Not Leave a Gap: Hallucination-Free Object Concealment in Vision-Language Models
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Towards Fair and Robust Volumetric CT Classification via KL-Regularised Group Distributionally Robust Optimisation
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Analytically tractable model of synaptic crowding explains emergent small-world structure and network dynamics
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Argumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For Us
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BANGLASOCIALBENCH: A Benchmark for Evaluating Sociopragmatic and Cultural Alignment of LLMs in Bangladeshi Social Interaction
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POLAR:A Per-User Association Test in Embedding Space
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Protein Design with Agent Rosetta: A Case Study for Specialized Scientific Agents
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A Family of LLMs Liberated from Static Vocabularies
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MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale Deployment
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ExpertGen: Scalable Sim-to-Real Expert Policy Learning from Imperfect Behavior Priors
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GASP: Guided Asymmetric Self-Play For Coding LLMs
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Deriving Hyperparameter Scaling Laws via Modern Optimization Theory
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Optimizing Hospital Capacity During Pandemics: A Dual-Component Framework for Strategic Patient Relocation
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MoLoRA: Composable Specialization via Per-Token Adapter Routing
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A Comprehensive Benchmark of Histopathology Foundation Models for Kidney Digital Pathology Images
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MAC: Multi-Agent Constitution Learning
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Robust Language Identification for Romansh Varieties
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100x Cost & Latency Reduction: Performance Analysis of AI Query Approximation using Lightweight Proxy Models
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Safety is Non-Compositional: A Formal Framework for Capability-Based AI Systems
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UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors
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An Agentic Evaluation Framework for AI-Generated Scientific Code in PETSc
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From Workflow Automation to Capability Closure: A Formal Framework for Safe and Revenue-Aware Customer Service AI
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Standardizing Medical Images at Scale for AI
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Aligning Paralinguistic Understanding and Generation in Speech LLMs via Multi-Task Reinforcement Learning
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Determinism in the Undetermined: Deterministic Output in Charge-Conserving Continuous-Time Neuromorphic Systems with Temporal Stochasticity
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Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech
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W2T: LoRA Weights Already Know What They Can Do
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The Midas Touch in Gaze vs. Hand Pointing: Modality-Specific Failure Modes and Implications for XR Interfaces
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Selective Memory for Artificial Intelligence: Write-Time Gating with Hierarchical Archiving
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Visual Set Program Synthesizer
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NLP Occupational Emergence Analysis: How Occupations Form and Evolve in Real Time -- A Zero-Assumption Method Demonstrated on AI in the US Technology Workforce, 2022-2026
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Mostly Text, Smart Visuals: Asymmetric Text-Visual Pruning for Large Vision-Language Models
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RadAnnotate: Large Language Models for Efficient and Reliable Radiology Report Annotation
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Evaluating Agentic Optimization on Large Codebases
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The Importance of Being Smoothly Calibrated
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FlatLands: Generative Floormap Completion From a Single Egocentric View
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Understanding Moral Reasoning Trajectories in Large Language Models: Toward Probing-Based Explainability
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IRAM-Omega-Q: A Computational Architecture for Uncertainty Regulation in Artificial Agents
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\texttt{BayesBreak}: Generalized Hierarchical Bayesian Segmentation with Irregular Designs, Multi-Sample Hierarchies, and Grouped/Latent-Group Designs
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E2EGS: Event-to-Edge Gaussian Splatting for Pose-Free 3D Reconstruction
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MVHOI: Bridge Multi-view Condition to Complex Human-Object Interaction Video Reenactment via 3D Foundation Model
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AgentTrace: Causal Graph Tracing for Root Cause Analysis in Deployed Multi-Agent Systems
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Applications of Intuitionistic Temporal Logic to Temporal Answer Set Programming
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Robust Building Damage Detection in Cross-Disaster Settings Using Domain Adaptation
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Scaling Autoregressive Models for Lattice Thermodynamics
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Design Space of Self--Consistent Electrostatic Machine Learning Interatomic Potentials
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AURORA-KITTI: Any-Weather Depth Completion and Denoising in the Wild
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Fractal Autoregressive Depth Estimation with Continuous Token Diffusion
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Beyond Local Code Optimization: Multi-Agent Reasoning for Software System Optimization
