ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference

Kai Hui 0001, Honglei Zhuang, Tao Chen 0008, Zhen Qin 0001, Jing Lu, Dara Bahri, Ji Ma, Jai Prakash Gupta, CĂ­cero Nogueira dos Santos, Yi Tay, Donald Metzler. ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. In Smaranda Muresan, Preslav Nakov, Aline Villavicencio, editors, Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022. pages 3747-3758, Association for Computational Linguistics, 2022. [doi]

Abstract

Abstract is missing.