Exploring the Few-Shot Performance of Low-Cost Proprietary Models in the 2024 TREC BioGen Track.
| Anthology ID: | DBLP:conf/trec/AteiaK24 |
|---|---|
| Volume: | Proceedings of the Thirty-Third Text REtrieval Conference, TREC 2024, Gaithersburg, MD, USA, November 18-22, 2024 |
| Year: | 2024 |
| Venue: | Text Retrieval Conference (TREC) |
| Publisher: | National Institute of Standards and Technology (NIST) |
| URL: | https://trec.nist.gov/pubs/trec33/papers/ur-iw.biogen.pdf |
| DBLP: | conf/trec/AteiaK24 |
| BibTeX: |
@inproceedings{ateia-2024-exploring,
author = {Samy Ateia and
Udo Kruschwitz},
editor = {Ian Soboroff and
Hoa Dang and
George Awad},
title = {{Exploring the Few-Shot Performance of Low-Cost Proprietary Models in the 2024 TREC BioGen Track}},
booktitle = {{Proceedings of the Thirty-Third Text REtrieval Conference, TREC 2024, Gaithersburg, MD, USA, November 18-22, 2024}},
series = {NIST Special Publication},
volume = {1329},
publisher = {National Institute of Standards and Technology (NIST)},
year = {2024},
url = {https://trec.nist.gov/pubs/trec33/papers/ur-iw.biogen.pdf}
}