Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width.

@inproceedings{liu-2025-fitting, author = {Zheng Liu and Chaofan Li and Shitao Xiao and Chaozhuo Li and Chen Jason Zhang and Hao Liao and Defu Lian and Yingxia Shao}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Fitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {3942--3951}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714620}, doi = {https://doi.org/10.1145/3696410.3714620} }