arXiv cs.AIResearchMEA: A Reward-Driven Multi-Agent System for Faithful Model Explanations (opens in a new tab)arXiv cs.AI · Oct 5, 2026
arXiv cs.AIResearchThe AI Risk Observatory: What Can We Learn from AI Disclosures in Annual Reports About Societal Resilience? (opens in a new tab)arXiv cs.AI · Oct 5, 2026
arXiv cs.AIResearchHow To Train Your World Model: Fine-tuning vs RAG for LM-based World Modeling (opens in a new tab)arXiv cs.AI · Oct 5, 2026
arXiv cs.AIResearchHXAI: Hierarchical Privacy-Preserving Explainable AI in Distributed Energy Systems (opens in a new tab)arXiv cs.AI · Oct 5, 2026
arXiv cs.AIResearchHow to Have a Sensitive Debate: An Instance-Optimal Protocol for AI Debate (opens in a new tab)arXiv cs.AI · Oct 5, 2026
arXiv cs.AIResearchLearning What to Investigate Next: Meta-Reasoning for Long-Horizon Research Agents (opens in a new tab)arXiv cs.AI · Oct 5, 2026
arXiv cs.AIResearchOn-Premises Multi-Course RAG Tutoring for Business Education: Hardware-Software Trade-offs in a Campus AI Tutor (opens in a new tab)arXiv cs.AI · Oct 5, 2026
arXiv cs.AIResearchRight Order, Wrong Scale: Auditing LLM Judges for Occupational AI Measurement (opens in a new tab)arXiv cs.AI · Oct 5, 2026
arXiv cs.AIResearchMitigating Social Sycophancy via Pluralistic Preference Optimization (opens in a new tab)arXiv cs.AI · Oct 5, 2026