PEQQS: a Dataset for Probing Extractive Quantity-focused Question Answering from Scientific Literature.
Maciej Rybinski|Necva Bölücü|Huichen Yang|Stephen Wan
| Anthology ID: | DBLP:conf/cikm/RybinskiBY025 |
|---|---|
| Volume: | Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025 |
| Year: | 2025 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 6513-6517 |
| URL: | https://doi.org/10.1145/3746252.3761653 |
| DOI: | https://doi.org/10.1145/3746252.3761653 |
| DBLP: | conf/cikm/RybinskiBY025 |
| BibTeX: |
@inproceedings{rybinski-2025-peqqs,
author = {Maciej Rybinski and
Necva B\"{o}l\"{u}c\"{u} and
Huichen Yang and
Stephen Wan},
editor = {Meeyoung Cha and
Carl Yang and
Senjuti Basu Roy and
Chanyoung Park and
Zhenhui Jessie Li and
Noseong Park and
Carl Yang and
Senjuti Basu Roy and
Zhenhui Jessie Li and
Jaap Kamps and
Kijung Shin and
Bryan Hooi and
Lifang He},
title = {{PEQQS: a Dataset for Probing Extractive Quantity-focused Question Answering from Scientific Literature}},
booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}},
pages = {6513--6517},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3746252.3761653},
doi = {https://doi.org/10.1145/3746252.3761653}
}