Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking.

Kevin Roitero|Dustin Wright|Michael Soprano|Isabelle Augenstein|Stefano Mizzaro


Anthology ID:DBLP:conf/sigir/Roitero0SAM25
Volume:Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025
Year:2025
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:457-467
URL:https://doi.org/10.1145/3726302.3729960
DOI:https://doi.org/10.1145/3726302.3729960
DBLP:conf/sigir/Roitero0SAM25
BibTeX:
@inproceedings{roitero-2025-efficiency, author = {Kevin Roitero and Dustin Wright and Michael Soprano and Isabelle Augenstein and Stefano Mizzaro}, editor = {Nicola Ferro and Maria Maistro and Gabriella Pasi and Omar Alonso and Andrew Trotman and Suzan Verberne}, title = {{Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking}}, booktitle = {{Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025}}, pages = {457--467}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3726302.3729960}, doi = {https://doi.org/10.1145/3726302.3729960} }