most citedSSRLBot: Designing and Developing a Large Language Model-based Agent using Socially Shared Regulated Learning

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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…