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Guanqun Bi

AAAI 2026×2ACL 2026×2推理可解释性社会与人本多模态强化学习与后训练
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1 一作 · 4 篇 · AAAI 2026 / ACL 2026

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2026 顶会论文

4
一作ACL 2026Poster· Natural Language Processing

S ^4: Operationalizing Speech Act Theory for Strategic Semi-Structured Psychiatric Interview

Guanqun Bi · Zhoufu Liu · Zhuang Chen · Dazhen Wan · Xiyao Xiao · Minlie Huang

摘要

Psychiatric interviewing is a strategic, goal-oriented interaction that requires proactively steering the conversation to elicit latent information. However, existing methods often degenerate into rigid interrogation or aimless chitchat due to a lack of strategic planning. In this work, we introd...

推理可解释性多模态OpenReview 项目页
作者位次 #4/7ACL 2026Findings· Findings of ACL

P syche P ass: Calibrating LLM Therapeutic Competence via Trajectory-Anchored Tournaments

Zhuang Chen · Dazhen Wan · Zhangkai Zheng · Guanqun Bi · Xiyao Xiao · Binghang Li · Minlie Huang

摘要

While large language models show promise in mental healthcare, evaluating their therapeutic competence remains challenging due to the unstructured and longitudinal nature of counseling. We argue that current evaluation paradigms suffer from an unanchored defect, leading to two forms of instabilit...

社会与人本可解释性强化学习与后训练OpenReview 项目页

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