WebBrain: Learning to Generate Factually Correct Articles for Queries by
Grounding on Large Web Corpus

WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus

10 April 2023

Hongjing Qian

Zheng Liu

Papers citing "WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus"

7 / 7 papers shown

Title
A Survey on Knowledge-Oriented Retrieval-Augmented Generation Mingyue Cheng Yucong Luo Jie Ouyang Q. Liu Huijie Liu ... Bohou Zhang Jiawei Cao Jie Ma Daoyu Wang Enhong Chen 3DV 68 3 0 11 Mar 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 67 46 0 23 Apr 2024
MultiVENT: Multilingual Videos of Events with Aligned Natural Text Kate Sanders David Etter Reno Kriz Benjamin Van Durme VGen 26 7 0 06 Jul 2023
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 235 257 0 21 Mar 2022
SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval Thibault Formal Carlos Lassance Benjamin Piwowarski S. Clinchant 194 186 0 21 Sep 2021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models Nandan Thakur Nils Reimers Andreas Rucklé Abhishek Srivastava Iryna Gurevych VLM 229 964 0 17 Apr 2021
Six Challenges for Neural Machine Translation Philipp Koehn Rebecca Knowles AAML AIMat 210 1,207 0 12 Jun 2017