3 papers
cs.MA2025
Can LLM Agents Really Debate? A Controlled Study of Multi-Agent Debate in Logical Reasoning
Haolun Wu, Zhenkun Li, Lingyao Li
Multi-agent debate (MAD) has recently emerged as a promising framework for improving the reasoning performance of large language models (LLMs). Yet, whether LLM agents can genuinel…
cs.MA2025
PartnerMAS: An LLM Hierarchical Multi-Agent Framework for Business Partner Selection on High-Dimensional Features
Lingyao Li, Haolun Wu, Zhenkun Li +5
High-dimensional decision-making tasks, such as business partner selection, involve evaluating large candidate pools with heterogeneous numerical, categorical, and textual features…
cs.AI2025
Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design
Zhenkun Li, Lingyao Li, Shuhang Lin +1
Single-agent LLMs hit hard limits--finite context, role overload, and brittle domain transfer. Conventional multi-agent fixes soften those edges yet expose fresh pains: ill-posed d…