A Statistical Framework for Data-dependent Retrieval-Augmented Models

A Statistical Framework for Data-dependent Retrieval-Augmented Models

27 August 2024

Soumya Basu

Papers citing "A Statistical Framework for Data-dependent Retrieval-Augmented Models"

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
Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing Yury Zemlyanskiy Michiel de Jong Joshua Ainslie Panupong Pasupat Peter Shaw Linlu Qiu Sumit Sanghai Fei Sha RALM 126 17 0 29 Sep 2022
StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models Adam Livska Tomávs Kovciský E. Gribovskaya Tayfun Terzi Eren Sezener ... Susannah Young Ellen Gilsenan-McMahon Sophia Austin Phil Blunsom Angeliki Lazaridou KELM 232 89 0 23 May 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
TrackFormer: Multi-Object Tracking with Transformers Tim Meinhardt A. Kirillov Laura Leal-Taixe Christoph Feichtenhofer VOT 218 741 0 07 Jan 2021
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 275 1,583 0 18 Sep 2019