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Ee-peng Lim

ACL 2026×2AAAI 2026KDD 2026NeurIPS 2026智能体与工具社会与人本安全强化学习与后训练推理
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0 一作 · 5 篇 · ACL 2026 / AAAI 2026 / KDD 2026 / NeurIPS 2026

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2026 顶会论文

5
作者位次 #3/5NeurIPS 2026Poster· Social Aspects / Trustworthy Machine Learning

VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems

Hezhe Qiao · Hanghang Tong · Ee-peng Lim · Bing Liu · Guansong Pang

智能体与工具社会与人本OpenReview
作者位次 #5/5ACL 2026Findings· Findings of ACL

MIT hinker: A Plug-and-Play Policy-Optimized Thinker For Motivational Interviewing Counseling

Yizhe Yang · Palakorn Achananuparp · Heyan Huang · Jing Jiang · Ee-peng Lim

摘要

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...

强化学习与后训练推理智能体与工具OpenReview 项目页
作者位次 #4/5ACL 2026Findings· Findings of ACL

MHS afe E val: Role-Aware Interaction-Level Evaluation of Mental Health Safety in Large Language Models

Suhyun Lee · Palakorn Achananuparp · Neemesh Yadav · Ee-peng Lim · Yang Deng

摘要

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...

安全评测与基准社会与人本OpenReview 项目页
作者位次 #4/4KDD 2026Oral· Knowledge Discovery & Data Mining

The 7th International Workshop on Talent and Management Computing (TMC 2026)

Hengshu Zhu · Yong Ge · Hui Xiong · Ee-peng Lim

检索与知识OpenReview
作者位次 #3/4AAAI 2026Poster· Artificial Intelligence

Towards Provably Unlearnable Examples via Bayes Error Optimization

Ruihan Zhang · Jun Sun · Ee-peng Lim · Peixin Zhang

安全理论与学习动力学OpenReview

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