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Tim Vieira

ACL 2026×2ICLR 2026多模态数据与预训练推理对齐与偏好多语言与语言学
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0 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
作者位次 #3/4ACL 2026Poster· Natural Language Processing

On the Proper Treatment of Units in Surprisal Theory

Samuel Kiegeland · Vésteinn Snæbjarnarson · Tim Vieira · Ryan Cotterell

摘要

Surprisal theory links human processing effort to the predictability of an upcoming linguistic unit, but empirical work often leaves the notion of a unit underspecified. In practice, experimental stimuli are segmented into linguistically motivated units (e.g., words), while pretrained language mo...

数据与预训练推理对齐与偏好OpenReview 项目页
作者位次 #5/5ACL 2026Poster· Natural Language Processing

Prefix Parsing is Just Parsing

Clemente Pasti · Andreas Opedal · Timothy J. O’Donnell · Ryan Cotterell · Tim Vieira

摘要

Prefix parsing asks whether an input prefix can be extended to a complete string generated by a given grammar. In the weighted setting, it also provides prefix probabilities, which are central to context-free language modeling, psycholinguistic analysis, and syntactically constrained generation f...

多语言与语言学效率与系统检索与知识OpenReview 项目页

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