One LLM to Train Them All: Multi-task Learning Framework for Fact-Checking.
Malin Astrid Larsson|Harald Fosen Grunnaleite|Vinay Setty
| Anthology ID: | DBLP:conf/ecir/LarssonGS26 |
|---|---|
| Volume: | Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part III |
| Year: | 2026 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 289-304 |
| URL: | https://doi.org/10.1007/978-3-032-21324-2_24 |
| DOI: | https://doi.org/10.1007/978-3-032-21324-2_24 |
| DBLP: | conf/ecir/LarssonGS26 |
| BibTeX: |
@inproceedings{larsson-2026-one,
author = {Malin Astrid Larsson and
Harald Fosen Grunnaleite and
Vinay Setty},
editor = {Ricardo Campos and
Adam Jatowt and
Yanyan Lan and
Mohammad Aliannejadi and
Christine Bauer and
Sean MacAvaney and
Avishek Anand and
Zhaochun Ren and
Suzan Verberne and
Nan Bai and
Masoud Mansoury},
title = {{One LLM to Train Them All: Multi-task Learning Framework for Fact-Checking}},
booktitle = {{Advances in Information Retrieval - 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 - April 2, 2026, Proceedings, Part III}},
series = {Lecture Notes in Computer Science},
volume = {16485},
pages = {289--304},
publisher = {Springer},
year = {2026},
url = {https://doi.org/10.1007/978-3-032-21324-2_24},
doi = {https://doi.org/10.1007/978-3-032-21324-2_24}
}