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Dan Jurafsky

ACL 2026×2社会与人本安全评测与基准推理对齐与偏好
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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 #3/3ACL 2026Poster· Natural Language Processing

Accommodation and Epistemic Vigilance: A Pragmatic Account of Why LLM s Fail to Challenge Harmful Beliefs

Myra Cheng · Robert D. Hawkins · Dan Jurafsky

摘要

Recent evaluations show that large language models (LLMs) frequently fail to challenge users’ harmful beliefs in domains ranging from medical advice to social reasoning. We present a unifying analysis through the lens of pragmatics: these safety failures can be understood and addressed as LLMs ex...

社会与人本安全评测与基准OpenReview 项目页
作者位次 #10/10ACL 2026Findings· Findings of ACL

Attention to Non-Adopters

Kaitlyn Zhou · Kristina Gligorić · Myra Cheng · Michelle S. Lam · Vyoma Raman · Boluwatife Aminu · Caeley Woo · Michael Brockman · Hannah Cha · Dan Jurafsky

摘要

Although language model–based chat systems are increasingly used in daily life, most Americans remain non-adopters of chat-based LLMs — as of June 2025, 66% had never used ChatGPT. At the same time, LLM development and evaluation rely mainly on data from adopters (e.g., logs, preference data), fo...

社会与人本推理对齐与偏好OpenReview 项目页

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