COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with
Contrastive and Distributionally Robust Learning

COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning

27 October 2022

Arnold Overwijk

Papers citing "COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning"

8 / 8 papers shown

Title
Text and Code Embeddings by Contrastive Pre-Training Arvind Neelakantan Tao Xu Raul Puri Alec Radford Jesse Michael Han ... Tabarak Khan Toki Sherbakov Joanne Jang Peter Welinder Lilian Weng SSL AI4TS 215 421 0 24 Jan 2022
A Fine-Grained Analysis on Distribution Shift Olivia Wiles Sven Gowal Florian Stimberg Sylvestre-Alvise Rebuffi Ira Ktena Krishnamurthy Dvijotham A. Cemgil OOD 220 201 0 21 Oct 2021
Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations Ji Xin Chenyan Xiong A. Srinivasan Ankita Sharma Damien Jose Paul N. Bennett VLM 80 41 0 14 Oct 2021
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval Luyu Gao Jamie Callan RALM 159 329 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 231 966 0 17 Apr 2021
COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining Yu Meng Chenyan Xiong Payal Bajaj Saurabh Tiwary Paul N. Bennett Jiawei Han Xia Song 125 202 0 16 Feb 2021
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering Yingqi Qu Yuchen Ding Jing Liu Kai Liu Ruiyang Ren Xin Zhao Daxiang Dong Hua-Hong Wu Haifeng Wang RALM OffRL 214 593 0 16 Oct 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 228 4,460 0 23 Jan 2020