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Zhenting Wang

ACL 2026×2ICML 2026可解释性推理安全评测与基准社会与人本
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0 一作 · 3 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

3
作者位次 #2/5ICML 2026Poster· Deep Learning / Attention Mechanisms

A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models

Zeru Shi · Zhenting Wang · Fan Yang · Qifan Wang · Ruixiang Tang

可解释性OpenReview
作者位次 #7/13ACL 2026Poster· Natural Language Processing

Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety

Can Jin · Rui Wu · Tong Che · Qixin ZHANG · Hongwu Peng · Jiahui Zhao · Zhenting Wang · Wenqi Wei · Ligong Han · Zhao Zhang · Yuan Cao · Ruixiang Tang · Dimitris N. Metaxas

摘要

Ensuring that Large Language Models (LLMs) adhere to safety principles without refusing benign requests remains a significant challenge. While OpenAI introduces deliberative alignment (DA) to enhance the safety of its o-series models through reasoning over detailed “code-like” safety rules, the e...

安全评测与基准推理OpenReview 项目页
作者位次 #9/9ACL 2026Findings· Findings of ACL

Debiasing LLM s by Masking Unfairness-Driving Attention Heads

Tingxu Han · Wei Song · Ziqi Ding · Ziming Li · Chunrong Fang · Yuekang Li · Dongfang Liu · Zhenyu Chen · Zhenting Wang

摘要

Large language models (LLMs) increasingly mediate decisions in domains where unfair treatment of demographic groups is unacceptable. Existing work probes when biased outputs appear, but gives little insight into the mechanisms that generate them, leaving existing mitigations largely fragile. In t...

可解释性推理社会与人本OpenReview 项目页

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