MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers.

Fang Guo|Wenyu Li|Honglei Zhuang|Yun Luo|Yafu Li|Le Yan|Qi Zhu|Yue Zhang


Anthology ID:DBLP:conf/wsdm/GuoLZLLY0Z25
Volume:Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
Year:2025
Venue:Web Search and Data Mining (WSDM)
Publisher:ACM
Pages:944-953
URL:https://doi.org/10.1145/3701551.3703583
DOI:https://doi.org/10.1145/3701551.3703583
DBLP:conf/wsdm/GuoLZLLY0Z25
BibTeX:
@inproceedings{guo-2025-mcranker, author = {Fang Guo and Wenyu Li and Honglei Zhuang and Yun Luo and Yafu Li and Le Yan and Qi Zhu and Yue Zhang}, editor = {Wolfgang Nejdl and S\"{o}ren Auer and Meeyoung Cha and Marie-Francine Moens and Marc Najork}, title = {{MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers}}, booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}}, pages = {944--953}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701551.3703583}, doi = {https://doi.org/10.1145/3701551.3703583} }