MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning Paper • 2505.24846 • Published May 30 • 15
ToMAP: Training Opponent-Aware LLM Persuaders with Theory of Mind Paper • 2505.22961 • Published May 29 • 8
CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation Paper • 2305.14318 • Published May 23, 2023
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents Paper • 2402.09205 • Published Feb 14, 2024
Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance Paper • 2410.12361 • Published Oct 16, 2024
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Paper • 2502.09560 • Published Feb 13 • 36
MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents Paper • 2503.01935 • Published Mar 3 • 27
AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset Paper • 2504.03612 • Published Apr 4 • 2
The Law of Knowledge Overshadowing: Towards Understanding, Predicting, and Preventing LLM Hallucination Paper • 2502.16143 • Published Feb 22 • 1
Can a Single Model Master Both Multi-turn Conversations and Tool Use? CALM: A Unified Conversational Agentic Language Model Paper • 2502.08820 • Published Feb 12 • 5