FoRAG: Factuality-optimized Retrieval Augmented Generation for
Web-enhanced Long-form Question Answering

FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering

19 June 2024

Yunqi Xu

Yinger Zhang

Papers citing "FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering"

5 / 5 papers shown

Title
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering Rong Cheng J. Liu Yan Zheng Fei Ni Jiazhen Du Hangyu Mao Fuzheng Zhang Bo-Lan Wang Jianye Hao LRM 51 0 0 25 Apr 2025
Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach Zhouyu Jiang Mengshu Sun Lei Liang Zhiqiang Zhang RALM 57 10 0 18 Jul 2024
Large Language Models are Zero-Shot Reasoners Takeshi Kojima S. Gu Machel Reid Yutaka Matsuo Yusuke Iwasawa ReLM LRM 291 2,712 0 24 May 2022
Teaching language models to support answers with verified quotes Jacob Menick Maja Trebacz Vladimir Mikulik John Aslanides Francis Song ... Mia Glaese Susannah Young Lucy Campbell-Gillingham G. Irving Nat McAleese ELM RALM 218 204 0 21 Mar 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