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Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data
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Federated Learning for Privacy-Preserving Medical AI
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Agent-based imitation dynamics can yield efficiently compressed population-level vocabularies
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Game-Theory-Assisted Reinforcement Learning for Border Defense: Early Termination based on Analytical Solutions
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Prompt Engineering for Scale Development in Generative Psychometrics
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The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning
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Auto Researching, not hyperparameter tuning: Convergence Analysis of 10,000 Experiments
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Sparse but not Simpler: A Multi-Level Interpretability Analysis of Vision Transformers
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VIBEPASS: Can Vibe Coders Really Pass the Vibe Check?
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Machine Translation in the Wild: User Reaction to Xiaohongshu's Built-In Translation Feature
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Learning to Recall with Transformers Beyond Orthogonal Embeddings
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Generative Inverse Design with Abstention via Diagonal Flow Matching
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Evaluating Causal Discovery Algorithms for Path-Specific Fairness and Utility in Healthcare
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Discovery of interaction and diffusion kernels in particle-to-mean-field multi-agent systems
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Semi-Autonomous Formalization of the Vlasov-Maxwell-Landau Equilibrium
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Nodule-Aligned Latent Space Learning with LLM-Driven Multimodal Diffusion for Lung Nodule Progression Prediction
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Embodied Foundation Models at the Edge: A Survey of Deployment Constraints and Mitigation Strategies
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CTG-DB: An Ontology-Based Transformation of ClinicalTrials.gov to Enable Cross-Trial Drug Safety Analyses
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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
