Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment.

Bo Zhao|Yinghao Zhang|Ziqi Xu|Yongli Ren|Xiuzhen Zhang|Renqiang Luo|Zaiwen Feng|Feng Xia


Anthology ID:DBLP:conf/cikm/ZhaoZ0R0LF025
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:4315-4325
URL:https://doi.org/10.1145/3746252.3761103
DOI:https://doi.org/10.1145/3746252.3761103
DBLP:conf/cikm/ZhaoZ0R0LF025
BibTeX:
@inproceedings{zhao-2025-unbiased, author = {Bo Zhao and Yinghao Zhang and Ziqi Xu and Yongli Ren and Xiuzhen Zhang and Renqiang Luo and Zaiwen Feng and Feng Xia}, 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 = {{Unbiased Reasoning for Knowledge-Intensive Tasks in Large Language Models via Conditional Front-Door Adjustment}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {4315--4325}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3761103}, doi = {https://doi.org/10.1145/3746252.3761103} }