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}
}