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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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Continual Few-shot Adaptation for Synthetic Fingerprint Detection
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Compute Allocation for Reasoning-Intensive Retrieval Agents
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Nudging Hidden States: Training-Free Model Steering for Chain-of-Thought Reasoning in Large Audio-Language Models
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Seeing Where to Deploy: Metric RGB-Based Traversability Analysis for Aerial-to-Ground Hidden Space Inspection
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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
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Comparative Analysis of 3D Convolutional and 2.5D Slice-Conditioned U-Net Architectures for MRI Super-Resolution via Elucidated Diffusion Models
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RenderMem: Rendering as Spatial Memory Retrieval
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Seamless Deception: Larger Language Models Are Better Knowledge Concealers
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A Single-Sample Polylogarithmic Regret Bound for Nonstationary Online Linear Programming
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Computational Analysis of Semantic Connections Between Herman Melville Reading and Writing
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FMS$^2$: Unified Flow Matching for Segmentation and Synthesis of Thin Structures
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Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision
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Noticing the Watcher: LLM Agents Can Infer CoT Monitoring from Blocking Feedback
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PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers
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Unsupervised Adaptation from FDG to PSMA PET/CT for 3D Lesion Detection under Label Shift
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TSDCRF: Balancing Privacy and Multi-Object Tracking via Time-Series CRF and Normalized Control Penalty
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SHAMISA: SHAped Modeling of Implicit Structural Associations for Self-supervised No-Reference Image Quality Assessment
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MHPO: Modulated Hazard-aware Policy Optimization for Stable Reinforcement Learning
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LLM-MINE: Large Language Model based Alzheimer's Disease and Related Dementias Phenotypes Mining from Clinical Notes
