Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep.

Qingcheng Zeng|Mingyu Jin|Qinkai Yu|Zhenting Wang|Wenyue Hua|Guangyan Sun|Yanda Meng|Shiqing Ma|Qifan Wang|Felix Juefei-Xu|Fan Yang|Kaize Ding|Ruixiang Tang|Yongfeng Zhang


Anthology ID:DBLP:conf/cikm/ZengJYWHSMMWJ0D25
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:5474-5478
URL:https://doi.org/10.1145/3746252.3760887
DOI:https://doi.org/10.1145/3746252.3760887
DBLP:conf/cikm/ZengJYWHSMMWJ0D25
BibTeX:
@inproceedings{zeng-2025-uncertainty, author = {Qingcheng Zeng and Mingyu Jin and Qinkai Yu and Zhenting Wang and Wenyue Hua and Guangyan Sun and Yanda Meng and Shiqing Ma and Qifan Wang and Felix Juefei-Xu and Fan Yang and Kaize Ding and Ruixiang Tang and Yongfeng Zhang}, 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 = {{Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {5474--5478}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3760887}, doi = {https://doi.org/10.1145/3746252.3760887} }