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Hui-Po Wang

ACL 2026×2评测与基准对齐与偏好社会与人本安全可解释性
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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 #3/5ACL 2026Findings· Findings of ACL

Justice in Judgment: Unveiling (Hidden) Bias in LLM -assisted Peer Reviews

Sai Suresh Macharla Vasu · Ivaxi Sheth · Hui-Po Wang · Ruta Binkyte · Mario Fritz

摘要

The adoption of large language models (LLMs) is transforming the peer review process, from assisting reviewers in writing detailed evaluations to generating entire reviews automatically. While these capabilities offer new opportunities, they also raise concerns about fairness and reliability. In...

对齐与偏好社会与人本评测与基准OpenReview 项目页
作者位次 #3/4ACL 2026Findings· Findings of ACL

P roxy P rompt: Securing System Prompts against Prompt Extraction Attacks

Zhixiong Zhuang · Maria-Irina Nicolae · Hui-Po Wang · Mario Fritz

摘要

The integration of large language models (LLMs) into a wide range of applications has highlighted the critical role of well-crafted system prompts, which require extensive testing and domain expertise. These prompts enhance task performance but may also encode sensitive information and filtering...

安全可解释性评测与基准OpenReview 项目页

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