OpenAI tells ChatGPT models to stop talking about goblins
The AI firm said that unlike previous model bugs, the issue "crept in subtly".
ML algorithms, training, and inference
The AI firm said that unlike previous model bugs, the issue "crept in subtly".
Researchers evaluated how well an AI model could diagnose and make decisions about patient care.
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
Abstract page for arXiv paper 2604.03245: FVRuleLearner: Operator-Level Reasoning Tree (OP-Tree)-Based Rules Learning for Formal Verifica...
Abstract page for arXiv paper 2604.03237: The Persuasion Paradox: When LLM Explanations Fail to Improve Human-AI Team Performance
Abstract page for arXiv paper 2311.12882: LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medic...
Abstract page for arXiv paper 2604.04878: Learning, Potential, and Retention: An Approach for Evaluating Adaptive AI-Enabled Medical Devices
Abstract page for arXiv paper 2604.04876: Incompleteness of AI Safety Verification via Kolmogorov Complexity
Abstract page for arXiv paper 2604.04853: MemMachine: A Ground-Truth-Preserving Memory System for Personalized AI Agents
Abstract page for arXiv paper 2604.04749: AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust...
Abstract page for arXiv paper 2604.04651: Search, Do not Guess: Teaching Small Language Models to Be Effective Search Agents
Abstract page for arXiv paper 2604.04637: Same World, Differently Given: History-Dependent Perceptual Reorganization in Artificial Agents
Abstract page for arXiv paper 2604.04528: Receding-Horizon Control via Drifting Models
Abstract page for arXiv paper 2604.04482: Scalable and Explainable Learner-Video Interaction Prediction using Multimodal Large Language M...
Abstract page for arXiv paper 2604.04468: What Makes a Sale? Rethinking End-to-End Seller--Buyer Retail Dynamics with LLM Agents
Abstract page for arXiv paper 2604.04448: PSY-STEP: Structuring Therapeutic Targets and Action Sequences for Proactive Counseling Dialogu...
Abstract page for arXiv paper 2604.04403: MolDA: Molecular Understanding and Generation via Large Language Diffusion Model
Abstract page for arXiv paper 2604.04383: Optimizing Service Operations via LLM-Powered Multi-Agent Simulation
Abstract page for arXiv paper 2604.04344: Domain-Contextualized Inference: A Computable Graph Architecture for Explicit-Domain Reasoning
Abstract page for arXiv paper 2604.04297: PanLUNA: An Efficient and Robust Query-Unified Multimodal Model for Edge Biosignal Intelligence
Abstract page for arXiv paper 2604.04281: Preservation Is Not Enough for Width Growth: Regime-Sensitive Selection of Dense LM Warm Starts
Abstract page for arXiv paper 2604.04274: InferenceEvolve: Towards Automated Causal Effect Estimators through Self-Evolving AI
Abstract page for arXiv paper 2604.04220: TimeSeek: Temporal Reliability of Agentic Forecasters
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