Attend to Fragments: How Key Information Affects Large Language Models for Factual Inconsistency Detection.

Xindi Guo|Huaizhong Kou|Zhen Xie|Huaizhong Kou|Zhen Xie|Georges Gardarin|Patrick H. Chen|Georges Gardarin|Patrick H. Chen


Anthology ID:DBLP:conf/sigir/GuoXC26
Volume:Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026
Year:2026
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:3764-3769
URL:https://doi.org/10.1145/3805712.3809915
DOI:https://doi.org/10.1145/3805712.3809915
DBLP:conf/sigir/GuoXC26
BibTeX:
@inproceedings{guo-2026-attend, author = {Xindi Guo and Huaizhong Kou and Zhen Xie and Huaizhong Kou and Zhen Xie and Georges Gardarin and Patrick H. Chen and Georges Gardarin and Patrick H. Chen}, editor = {Hannah Bast and Alistair Moffat and Falk Scholer and Marc Najork and Min Zhang and Hannah Bast and Marc Najork and Min Zhang}, title = {{Attend to Fragments: How Key Information Affects Large Language Models for Factual Inconsistency Detection}}, booktitle = {{Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026}}, pages = {3764--3769}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3805712.3809915}, doi = {https://doi.org/10.1145/3805712.3809915} }