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Learning to Order: Task Sequencing as In-Context Optimization
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Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation
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An End-to-end Architecture for Collider Physics and Beyond
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JobMatchAI An Intelligent Job Matching Platform Using Knowledge Graphs, Semantic Search and Explainable AI
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A comprehensive multimodal dataset and benchmark for ulcerative colitis scoring in endoscopy
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Multilingual TinyStories: A Synthetic Combinatorial Corpus of Indic Children's Stories for Training Small Language Models
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Top-b: Entropic Regulation of Relative Probability Bands in Autoregressive Language Processes
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Rigorous Asymptotics for First-Order Algorithms Through the Dynamical Cavity Method
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CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpad
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IQP Born Machines under Data-dependent and Agnostic Initialization Strategies
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Covariance-Guided Resource Adaptive Learning for Efficient Edge Inference
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Power-Law Spectrum of the Random Feature Model
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Medical Image Spatial Grounding with Semantic Sampling
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Machine Learning-Driven Intelligent Memory System Design: From On-Chip Caches to Storage
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The Scenic Route to Deception: Dark Patterns and Explainability Pitfalls in Conversational Navigation
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Texel Splatting: Perspective-Stable 3D Pixel Art
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SuperLocalMemory V3: Information-Geometric Foundations for Zero-LLM Enterprise Agent Memory
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Adapting Critic Match Loss Landscape Visualization to Off-policy Reinforcement Learning
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FlashHead: Efficient Drop-In Replacement for the Classification Head in Language Model Inference
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A Multi-Scale Graph Learning Framework with Temporal Consistency Constraints for Financial Fraud Detection in Transaction Networks under Non-Stationary Conditions
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Parameter-Efficient Quality Estimation via Frozen Recursive Models
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Scaling the Explanation of Multi-Class Bayesian Network Classifiers
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D-MEM: Dopamine-Gated Agentic Memory via Reward Prediction Error Routing
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A Loss Landscape Visualization Framework for Interpreting Reinforcement Learning: An ADHDP Case Study
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$K-$means with learned metrics
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$PA^3$: $\textbf{P}$olicy-$\textbf{A}$ware $\textbf{A}$gent $\textbf{A}$lignment through Chain-of-Thought
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Tactile Modality Fusion for Vision-Language-Action Models
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Delightful Policy Gradient
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GroundSet: A Cadastral-Grounded Dataset for Spatial Understanding with Vector Data
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Make it SING: Analyzing Semantic Invariants in Classifiers
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PulmoVec: A Two-Stage Stacking Meta-Learning Architecture Built on the HeAR Foundation Model for Multi-Task Classification of Pediatric Respiratory Sounds
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LLM-Augmented Release Intelligence: Automated Change Summarization and Impact Analysis in Cloud-Native CI/CD Pipelines
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A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scans
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Proactive Routing to Interpretable Surrogates with Distribution-Free Safety Guarantees
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EcoFair-CH-MARL: Scalable Constrained Hierarchical Multi-Agent RL with Real-Time Emission Budgets and Fairness Guarantees
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s2n-bignum-bench: A practical benchmark for evaluating low-level code reasoning of LLMs
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ResearchPilot: A Local-First Multi-Agent System for Literature Synthesis and Related Work Drafting
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Anterior's Approach to Fairness Evaluation of Automated Prior Authorization System
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Argumentation for Explainable and Globally Contestable Decision Support with LLMs
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LUMINA: A Multi-Vendor Mammography Benchmark with Energy Harmonization Protocol
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Spectrum Matching: a Unified Perspective for Superior Diffusability in Latent Diffusion
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Dynamic Theory of Mind as a Temporal Memory Problem: Evidence from Large Language Models
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TopoCL: Topological Contrastive Learning for Medical Imaging
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A Methodology for Thermal Limit Bias Predictability Through Artificial Intelligence
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EARCP: Self-Regulating Coherence-Aware Ensemble Architecture for Sequential Decision Making -- Ensemble Auto-Regule par Coherence et Performance
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Human-AI Ensembles Improve Deepfake Detection in Low-to-Medium Quality Videos
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VisionCoach: Reinforcing Grounded Video Reasoning via Visual-Perception Prompting
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Punctuated Equilibria in Artificial Intelligence: The Institutional Scaling Law and the Speciation of Sovereign AI
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Gradient Atoms: Unsupervised Discovery, Attribution and Steering of Model Behaviors via Sparse Decomposition of Training Gradients
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EviATTA: Evidential Active Test-Time Adaptation for Medical Segment Anything Models
