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Robert D. Hawkins

ACL 2026×2CHI 2026社会与人本评测与基准多模态安全数据与预训练
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0 一作 · 3 篇 · ACL 2026 / CHI 2026

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2026 顶会论文

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

When More Words Say Less: Decoupling Length and Specificity in Image Description Evaluation

Rhea Kapur · Robert D. Hawkins · Elisa Kreiss

摘要

Vision-language models (VLMs) are increasingly used to make visual content accessible via text-based descriptions. In current systems, however, description specificity is often conflated with their length. We argue that these two concepts must be disentangled: descriptions can be concise yet dens...

多模态评测与基准数据与预训练OpenReview 项目页

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