Large Language Models are Strong Zero-Shot Retriever

Large Language Models are Strong Zero-Shot Retriever

27 April 2023

Papers citing "Large Language Models are Strong Zero-Shot Retriever"

10 / 10 papers shown

Title
W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering Jinming Nian Zhiyuan Peng Qifan Wang Yi Fang RALM 62 1 0 15 Aug 2024
Query2doc: Query Expansion with Large Language Models Liang Wang Nan Yang Furu Wei 81 96 0 14 Mar 2023
Rethinking with Retrieval: Faithful Large Language Model Inference Hangfeng He Hongming Zhang Dan Roth KELM LRM 132 151 0 31 Dec 2022
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng-Long Jiang RALM AIMat 205 318 0 21 Sep 2022
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 229 720 0 17 Apr 2021
Overview of the TREC 2020 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos 51 362 0 15 Feb 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,296 0 17 Jan 2021
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models Xueliang Zhao Wei Yu Wu Can Xu Chongyang Tao Dongyan Zhao Rui Yan 164 181 0 17 Oct 2020
Overview of the TREC 2019 deep learning track Nick Craswell Bhaskar Mitra Emine Yilmaz Daniel Fernando Campos E. Voorhees 164 453 0 17 Mar 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 29,632 0 16 Jan 2013