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} }