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Myra Cheng

ACL 2026×3评测与基准推理社会与人本检索与知识安全
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一作贡献30
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合作网络6
1 一作 · 3 篇 · ACL 2026

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2026 顶会论文

3
作者位次 #2/2ACL 2026Poster· Natural Language Processing

Thinking beyond the anthropomorphic paradigm benefits LLM research

Lujain Ibrahim · Myra Cheng

摘要

Anthropomorphism, or the attribution of human traits to technology, is an automatic and unconscious response that occurs even in those with advanced technical expertise. In this position paper, we analyze hundreds of thousands of research articles to present empirical evidence of the prevalence a...

评测与基准推理检索与知识OpenReview 项目页
一作ACL 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 #3/10ACL 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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