Fine-Tuning or In-Context Learning? Understanding Their Trade-offs in Misinformation Detection.
Han Kyul Kim|Shriniwas Nayak|Andy Skumanich
| Anthology ID: | DBLP:conf/wsdm/KimNS26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM Companion 2026, Boise Centre, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 58-62 |
| URL: | https://doi.org/10.1145/3779211.3793170 |
| DOI: | https://doi.org/10.1145/3779211.3793170 |
| DBLP: | conf/wsdm/KimNS26 |
| BibTeX: |
@inproceedings{kim-2026-finetuning,
author = {Han Kyul Kim and
Shriniwas Nayak and
Andy Skumanich},
editor = {Edoardo Serra and
Francesca Spezzano and
Francesco Gullo},
title = {{Fine-Tuning or In-Context Learning? Understanding Their Trade-offs in Misinformation Detection}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM Companion 2026, Boise Centre, Boise, ID, USA, February 22-26, 2026}},
pages = {58--62},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3779211.3793170},
doi = {https://doi.org/10.1145/3779211.3793170}
}