Efficiency of Large Language Models to scale up Ground Truth: Overview of the IRSE Track at Forum for Information Retrieval 2023.
Soumen Paul|Srijoni Majumdar|Ayan Bandyopadhyay|Bhargav Dave|Samiran Chattopadhyay|Partha Pratim Das|Paul D. Clough|Prasenjit Majumder
| Anthology ID: | DBLP:conf/fire/PaulMBDCDCM23 |
|---|---|
| Volume: | Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2023, Panjim, India, December 15-18, 2023 |
| Year: | 2023 |
| Venue: | Forum for Information Retrieval Evaluation (FIRE) |
| Publisher: | ACM |
| Pages: | 16-18 |
| URL: | https://doi.org/10.1145/3632754.3633480 |
| DOI: | https://doi.org/10.1145/3632754.3633480 |
| DBLP: | conf/fire/PaulMBDCDCM23 |
| BibTeX: |
@inproceedings{paul-2023-efficiency,
author = {Soumen Paul and
Srijoni Majumdar and
Ayan Bandyopadhyay and
Bhargav Dave and
Samiran Chattopadhyay and
Partha Pratim Das and
Paul D. Clough and
Prasenjit Majumder},
editor = {Debasis Ganguly and
Srijoni Majumdar and
Bhaskar Mitra and
Parth Gupta and
Surupendu Gangopadhyay and
Prasenjit Majumder},
title = {{Efficiency of Large Language Models to scale up Ground Truth: Overview of the IRSE Track at Forum for Information Retrieval 2023}},
booktitle = {{Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, FIRE 2023, Panjim, India, December 15-18, 2023}},
pages = {16--18},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3632754.3633480},
doi = {https://doi.org/10.1145/3632754.3633480}
}