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Prose2Policy (P2P): A Practical LLM Pipeline for Translating Natural-Language Access Policies into Executable Rego
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Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory
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Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous Variables
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Mask Is What DLLM Needs: A Masked Data Training Paradigm for Diffusion LLMs
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Don't Trust Stubborn Neighbors: A Security Framework for Agentic Networks
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Feed-forward Gaussian Registration for Head Avatar Creation and Editing
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ModTrack: Sensor-Agnostic Multi-View Tracking via Identity-Informed PHD Filtering with Covariance Propagation
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Longitudinal Risk Prediction in Mammography with Privileged History Distillation
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Conflict-Aware Multimodal Fusion for Ambivalence and Hesitancy Recognition
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Hypothesis Class Determines Explanation: Why Accurate Models Disagree on Feature Attribution
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Beyond the Embedding Bottleneck: Adaptive Retrieval-Augmented 3D CT Report Generation
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Persona-Conditioned Risk Behavior in Large Language Models: A Simulated Gambling Study with GPT-4.1
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Spectral Hierarchy of the Cosmic Web
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When Stability Fails: Hidden Failure Modes Of LLMS in Data-Constrained Scientific Decision-Making
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Informationally Compressive Anonymization: Non-Degrading Sensitive Input Protection for Privacy-Preserving Supervised Machine Learning
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FEEL (Force-Enhanced Egocentric Learning): A Dataset for Physical Action Understanding
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Algorithmic Trading Strategy Development and Optimisation
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FlashSampling: Fast and Memory-Efficient Exact Sampling
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Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models
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Self-supervised Disentanglement of Disease Effects from Aging in 3D Medical Shapes
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Interpretative Interfaces: Designing for AI-Mediated Reading Practices and the Knowledge Commons
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Evaluating Black-Box Vulnerabilities with Wasserstein-Constrained Data Perturbations
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Kriging via variably scaled kernels
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Counteractive RL: Rethinking Core Principles for Efficient and Scalable Deep Reinforcement Learning
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Electrodermal Activity as a Unimodal Signal for Aerobic Exercise Detection in Wearable Sensors
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Resilience Meets Autonomy: Governing Embodied AI in Critical Infrastructure
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PhasorFlow: A Python Library for Unit Circle Based Computing
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EvoIQA - Explaining Image Distortions with Evolved White-Box Logic
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AsgardBench -- Evaluating Visually Grounded Interactive Planning Under Minimal Feedback
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Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN
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COGNAC at SemEval-2026 Task 5: LLM Ensembles for Human-Level Word Sense Plausibility Rating in Challenging Narratives
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The Internet of Physical AI Agents: Interoperability, Longevity, and the Cost of Getting It Wrong
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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
