Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online Efficiency

5 June 2023

Papers citing "Query Encoder Distillation via Embedding Alignment is a Strong Baseline Method to Boost Dense Retriever Online Efficiency"

4 / 4 papers shown

Title
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 126 248 0 14 Oct 2021
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval Luyu Gao Jamie Callan RALM 157 329 0 12 Aug 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 229 966 0 17 Apr 2021
Big Bird: Transformers for Longer Sequences Manzil Zaheer Guru Guruganesh Kumar Avinava Dubey Joshua Ainslie Chris Alberti ... Philip Pham Anirudh Ravula Qifan Wang Li Yang Amr Ahmed VLM 254 2,013 0 28 Jul 2020