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Palakorn Achananuparp

ACL 2026×2强化学习与后训练推理智能体与工具安全评测与基准
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0 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #2/5ACL 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 #2/5ACL 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

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