Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning.
Yunhu Ye|Binyuan Hui|Min Yang|Binhua Li|Fei Huang|Yongbin Li
| Anthology ID: | DBLP:conf/sigir/YeHYLHL23 |
|---|---|
| Volume: | Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023 |
| Year: | 2023 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 174-184 |
| URL: | https://doi.org/10.1145/3539618.3591708 |
| DOI: | https://doi.org/10.1145/3539618.3591708 |
| DBLP: | conf/sigir/YeHYLHL23 |
| BibTeX: |
@inproceedings{ye-2023-large,
author = {Yunhu Ye and
Binyuan Hui and
Min Yang and
Binhua Li and
Fei Huang and
Yongbin Li},
editor = {Hsin-Hsi Chen and
Wei-Jou (Edward) Duh and
Hen-Hsen Huang and
Makoto P. Kato and
Josiane Mothe and
Barbara Poblete},
title = {{Large Language Models are Versatile Decomposers: Decomposing Evidence and Questions for Table-based Reasoning}},
booktitle = {{Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023}},
pages = {174--184},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3539618.3591708},
doi = {https://doi.org/10.1145/3539618.3591708}
}