Re2G: Retrieve, Rerank, Generate

Re2G: Retrieve, Rerank, Generate

13 July 2022

Michael R. Glass

Gaetano Rossiello

Md. Faisal Mahbub Chowdhury

Ankita Rajaram Naik

Papers citing "Re2G: Retrieve, Rerank, Generate"

9 / 9 papers shown

Title
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning Bowen Jin Hansi Zeng Zhenrui Yue Dong Wang Sercan Ö. Arik Dong Wang Hamed Zamani J. Han RALM ReLM KELM OffRL AI4TS LRM 80 21 0 12 Mar 2025
Self-adaptive Multimodal Retrieval-Augmented Generation Wenjia Zhai VLM 24 0 0 15 Oct 2024
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users Mengxuan Hu Hongyi Wu Zihan Guan Ronghang Zhu Dongliang Guo Daiqing Qi Sheng Li SILM 33 3 0 10 Oct 2024
RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling Jingcheng Deng Liang Pang Huawei Shen Xueqi Cheng RALM 19 10 0 16 Oct 2023
Exploiting Abstract Meaning Representation for Open-Domain Question Answering Cunxiang Wang Zhikun Xu Qipeng Guo Xiangkun Hu Xuefeng Bai Zheng-Wei Zhang Yue Zhang 11 3 0 26 May 2023
Query Enhanced Knowledge-Intensive Conversation via Unsupervised Joint Modeling Mingzhu Cai Siqi Bao Xin Tian H. He Fan Wang Hua-Hong Wu 17 5 0 19 Dec 2022
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation Sebastian Hofstatter Jiecao Chen K. Raman Hamed Zamani RALM 35 77 0 28 Sep 2022
Hindsight: Posterior-guided training of retrievers for improved open-ended generation Ashwin Paranjape Omar Khattab Christopher Potts Matei A. Zaharia Christopher D. Manning RALM 67 43 0 14 Oct 2021
Multi-task Retrieval for Knowledge-Intensive Tasks Jean Maillard Vladimir Karpukhin Fabio Petroni Wen-tau Yih Barlas Oğuz Veselin Stoyanov Gargi Ghosh 207 64 0 01 Jan 2021