APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking.

Can Jin|Hongwu Peng|Shiyu Zhao|Zhenting Wang|Wujiang Xu|Ligong Han|Jiahui Zhao|Kai Zhong|Sanguthevar Rajasekaran|Dimitris N. Metaxas


Anthology ID:DBLP:conf/www/JinPZWXHZZRM25
Volume:Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:2494-2502
URL:https://doi.org/10.1145/3701716.3717574
DOI:https://doi.org/10.1145/3701716.3717574
DBLP:conf/www/JinPZWXHZZRM25
BibTeX:
@inproceedings{jin-2025-apeer, author = {Can Jin and Hongwu Peng and Shiyu Zhao and Zhenting Wang and Wujiang Xu and Ligong Han and Jiahui Zhao and Kai Zhong and Sanguthevar Rajasekaran and Dimitris N. Metaxas}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{APEER : Automatic Prompt Engineering Enhances Large Language Model Reranking}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {2494--2502}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3717574}, doi = {https://doi.org/10.1145/3701716.3717574} }