Skip to content
conftrace_

multi-agent system

1,928 papers

MAS

Papers

Efficient Robot Learning via Interaction with Humans AAAI 2025 Emergent Convergence in Multi-Agent LLM Annotation EMNLP 2025 EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety EMNLP 2025 EMOS: Embodiment-aware Heterogeneous Multi-robot Operating System with LLM Agents ICLR 2025 EMULATE: A Multi-Agent Framework for Determining the Veracity of Atomic Claims by Emulating Human Actions ACL 2025 Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models AAAI 2025 Enhancing Multi-Agent Debate System Performance via Confidence Expression EMNLP 2025 Enhancing Participatory Development Research in South Asia through LLM Agents System: An Empirically-Grounded Methodological Initiative and Agenda from Field Evidence in Sri Lankan COLING 2025 Enhancing Reasoning Abilities of Small LLMs with Cognitive Alignment EMNLP 2025 Enhancing Recommendation Explanations through User-Centric Refinement EMNLP 2025 Enhancing Text-to-SQL with Question Classification and Multi-Agent Collaboration NAACL 2025 EPO: Explicit Policy Optimization for Strategic Reasoning in LLMs via Reinforcement Learning ACL 2025 Error Detection in Medical Note through Multi Agent Debate ACL 2025 ETVA: Evaluation of Text-to-Video Alignment via Fine-grained Question Generation and Answering ICCV 2025 Evaluation of Multi-Agent LLMs in Multidisciplinary Team Decision-Making for Challenging Cancer Cases MLHC 2025 Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context AAAI 2025 Every Bit Helps: Achieving the Optimal Distortion with a Few Queries AAAI 2025 EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms NAACL 2025 EvoAgentX: An Automated Framework for Evolving Agentic Workflows EMNLP 2025 Evolution in Simulation: AI-Agent School with Dual Memory for High-Fidelity Educational Dynamics EMNLP 2025 Experiencing of Sensorium Arc: AI Agent System for Oceanic Data Exploration and Interactive Eco-Art NeurIPS 2025 Explain-Analyze-Generate: A Sequential Multi-Agent Collaboration Method for Complex Reasoning COLING 2025 Explanations for Multi-Agent Reinforcement Learning AAAI 2025 Exploration Lab IITK at SemEval-2025 Task 8: Multi-LLM Agent QA over Tabular Data SemEval 2025 Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery ACL 2025