Core: Robust Factual Precision with Informative Sub-Claim Identification

Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme. Findings of the Association for Computational Linguistics: ACL 2025. 2025.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.findings-acl.1018
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

Core: Robust Factual Precision with Informative Sub-Claim Identification

Kate Sanders, Seth Ebner, Daniel Khashabi, Nathaniel Weir et al.
Topic Modeling
article

Core: Robust Factual Precision with Informative Sub-Claim Identification

Kate Sanders, Seth Ebner, Daniel Khashabi, Nathaniel Weir, Benjamin Van Durme, Jingyu Zhang, Anqi Liu, Zhengping Jiang, Miriam Wanner
article en

Abstract

Zhengping Jiang, Jingyu Zhang, Nathaniel Weir, Seth Ebner, Miriam Wanner, Kate Sanders, Daniel Khashabi, Anqi Liu, Benjamin Van Durme. Findings of the Association for Computational Linguistics: ACL 2025. 2025.

Johns Hopkins University (US)
National Science Foundation, Defense Advanced Research Projects Agency, Office of Naval Research
Openalex Percentile: Top 90%
Topic Modeling
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