Large Language Models are Built-in Autoregressive Search Engines

Large Language Models are Built-in Autoregressive Search Engines

16 May 2023

Meng-Long Jiang

Papers citing "Large Language Models are Built-in Autoregressive Search Engines"

9 / 9 papers shown

Title
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval Kidist Amde Mekonnen Yubao Tang Maarten de Rijke 55 0 0 07 Apr 2025
From Matching to Generation: A Survey on Generative Information Retrieval Xiaoxi Li Jiajie Jin Yujia Zhou Yuyao Zhang Peitian Zhang Yutao Zhu Zhicheng Dou 3DV 49 36 0 23 Apr 2024
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering Mingxuan Ju W. Yu Tong Zhao Chuxu Zhang Yanfang Ye 55 24 0 06 Oct 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
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 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
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering Fengbin Zhu Wenqiang Lei Chao Wang Jianming Zheng Soujanya Poria Tat-Seng Chua RALM 195 214 0 04 Jan 2021
Rider: Reader-Guided Passage Reranking for Open-Domain Question Answering Yuning Mao Pengcheng He Xiaodong Liu Yelong Shen Jianfeng Gao Jiawei Han Weizhu Chen OOD LRM 123 37 0 01 Jan 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 195 516 0 16 Oct 2020