Augmenting Query and Passage for Retrieval-Augmented Generation using
LLMs for Open-Domain Question Answering

Augmenting Query and Passage for Retrieval-Augmented Generation using LLMs for Open-Domain Question Answering

20 June 2024

Seungjun Baek

Papers citing "Augmenting Query and Passage for Retrieval-Augmented Generation using LLMs for Open-Domain Question Answering"

6 / 6 papers shown

Title
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Akari Asai Zeqiu Wu Yizhong Wang Avirup Sil Hannaneh Hajishirzi RALM 147 621 0 17 Oct 2023
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA Dongryeol Lee Segwang Kim Minwoo Lee Hwanhee Lee Joonsuk Park Sang-Woo Lee Kyomin Jung UQLM 60 12 0 23 May 2023
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 4,048 0 24 May 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 303 11,881 0 04 Mar 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,402 0 28 Jan 2022
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 229 961 0 17 Apr 2021