VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems
Hezhe Qiao · Hanghang Tong · Ee-peng Lim · Bing Liu · Guansong Pang
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Hezhe Qiao · Hanghang Tong · Ee-peng Lim · Bing Liu · Guansong Pang
Yizhe Yang · Palakorn Achananuparp · Heyan Huang · Jing Jiang · Ee-peng Lim
Reasoning large language models (LLMs) have recently made much progress in complex problem-solving, leveraging internal reasoning (or thought) to guide their solution generation. However, existing LLM-based counseling agents, including those using Motivational Interviewing (MI), generate response...
Suhyun Lee · Palakorn Achananuparp · Neemesh Yadav · Ee-peng Lim · Yang Deng
Large language models (LLMs) are increasingly explored as scalable tools for mental health counseling, yet evaluating their safety remains challenging due to the interactional and context-dependent nature of clinical harm. Existing evaluation frameworks predominantly assess isolated responses usi...
Hengshu Zhu · Yong Ge · Hui Xiong · Ee-peng Lim
Ruihan Zhang · Jun Sun · Ee-peng Lim · Peixin Zhang