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Taylor Berg-Kirkpatrick

ICML 2026×4ACL 2026多模态多语言与语言学检索与知识评测与基准数据与预训练
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0 一作 · 5 篇 · ICML 2026 / ACL 2026

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2026 顶会论文

5
作者位次 #4/4ICML 2026Poster· General Machine Learning / Evaluation

Do Text Edits Generalize to Visual Generation? Benchmarking Cross-Modal Knowledge Editing in UMMs

Xin Gao · Cheng Yang · Chufan Shi · Taylor Berg-Kirkpatrick

评测与基准多模态检索与知识OpenReview
作者位次 #6/7ACL 2026Poster· Natural Language Processing

Translation or Recitation? Calibrating Evaluation Scores for Machine Translation of Extremely Low-Resource Languages

Danlu Chen · Ka Sing He · Jiahe Tian · Chenghao Xiao · Zhaofeng Wu · Taylor Berg-Kirkpatrick · Freda Shi

摘要

The landscape of extremely low-resource machine translation (MT) is characterized by perplexing variability in reported performance, often making results across different language pairs difficult to contextualize. For researchers focused on specific language groups—such as ancient languages—it is...

数据与预训练检索与知识多语言与语言学OpenReview 项目页

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