PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models

5 December 2023

Papers citing "PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models"

6 / 6 papers shown

Title
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction Eli Chien Wei-Cheng Chang Cho-Jui Hsieh Hsiang-Fu Yu Jiong Zhang O. Milenkovic Inderjit S Dhillon 147 130 0 29 Oct 2021
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking Ruiyang Ren Yingqi Qu Jing Liu Wayne Xin Zhao Qiaoqiao She Hua-Hong Wu Haifeng Wang Ji-Rong Wen 124 244 0 14 Oct 2021
Efficient Nearest Neighbor Language Models Junxian He Graham Neubig Taylor Berg-Kirkpatrick RALM 188 103 0 09 Sep 2021
PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval Ruiyang Ren Shangwen Lv Yingqi Qu Jing Liu Wayne Xin Zhao Qiaoqiao She Hua-Hong Wu Haifeng Wang Ji-Rong Wen 118 90 0 13 Aug 2021
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval Luyu Gao Jamie Callan RALM 152 326 0 12 Aug 2021
Large-Scale Training System for 100-Million Classification at Alibaba Liuyihan Song Pan Pan Kang Zhao Hao Yang Yiming Chen Yingya Zhang Yinghui Xu R. L. Jin 22 22 0 09 Feb 2021