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On Retrieval Augmentation and the Limitations of Language Model Training

On Retrieval Augmentation and the Limitations of Language Model Training

16 November 2023
Ting-Rui Chiang
Xinyan Velocity Yu
Joshua Robinson
Ollie Liu
Isabelle G. Lee
Dani Yogatama
    RALM
ArXivPDFHTML

Papers citing "On Retrieval Augmentation and the Limitations of Language Model Training"

6 / 6 papers shown
Title
How Abstract Is Linguistic Generalization in Large Language Models?
  Experiments with Argument Structure
How Abstract Is Linguistic Generalization in Large Language Models? Experiments with Argument Structure
Michael Wilson
Jackson Petty
Robert Frank
26
15
0
08 Nov 2023
How Language Model Hallucinations Can Snowball
How Language Model Hallucinations Can Snowball
Muru Zhang
Ofir Press
William Merrill
Alisa Liu
Noah A. Smith
HILM
LRM
85
253
0
22 May 2023
You can't pick your neighbors, or can you? When and how to rely on
  retrieval in the $k$NN-LM
You can't pick your neighbors, or can you? When and how to rely on retrieval in the kkkNN-LM
Andrew Drozdov
Shufan Wang
Razieh Rahimi
Andrew McCallum
Hamed Zamani
Mohit Iyyer
RALM
116
17
0
28 Oct 2022
Training Language Models with Memory Augmentation
Training Language Models with Memory Augmentation
Zexuan Zhong
Tao Lei
Danqi Chen
RALM
236
128
0
25 May 2022
When is Memorization of Irrelevant Training Data Necessary for
  High-Accuracy Learning?
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
Gavin Brown
Mark Bun
Vitaly Feldman
Adam D. Smith
Kunal Talwar
253
93
0
11 Dec 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
415
2,588
0
03 Sep 2019
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