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Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory

3 May 2023
Xin Cheng
Di Luo
Xiuying Chen
Lemao Liu
Dongyan Zhao
Rui Yan
    RALM
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Papers citing "Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory"

11 / 11 papers shown
Title
Towards Efficient Dialogue Pre-training with Transferable and
  Interpretable Latent Structure
Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure
Xueliang Zhao
Lemao Liu
Tingchen Fu
Shuming Shi
Dongyan Zhao
Rui Yan
96
3
0
22 Oct 2022
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
Tanay Dixit
Bhargavi Paranjape
Hannaneh Hajishirzi
Luke Zettlemoyer
SyDa
104
14
0
10 Oct 2022
Controllable Dialogue Simulation with In-Context Learning
Controllable Dialogue Simulation with In-Context Learning
Zekun Li
Wenhu Chen
Shiyang Li
Hong Wang
Jingu Qian
Xi Yan
106
32
0
09 Oct 2022
Generate-and-Retrieve: use your predictions to improve retrieval for
  semantic parsing
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
96
15
0
29 Sep 2022
Generate rather than Retrieve: Large Language Models are Strong Context
  Generators
Generate rather than Retrieve: Large Language Models are Strong Context Generators
W. Yu
Dan Iter
Shuohang Wang
Yichong Xu
Mingxuan Ju
Soumya Sanyal
Chenguang Zhu
Michael Zeng
Meng-Long Jiang
RALM
AIMat
205
235
0
21 Sep 2022
Target-aware Abstractive Related Work Generation with Contrastive
  Learning
Target-aware Abstractive Related Work Generation with Contrastive Learning
Xiuying Chen
Hind Alamro
Li Mingzhe
Shen Gao
Rui Yan
Xin Gao
Xiangliang Zhang
3DV
103
21
0
26 May 2022
Training Language Models with Memory Augmentation
Training Language Models with Memory Augmentation
Zexuan Zhong
Tao Lei
Danqi Chen
RALM
201
107
0
25 May 2022
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
266
991
0
17 Jan 2021
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
235
1,684
0
28 Jul 2020
On Extractive and Abstractive Neural Document Summarization with
  Transformer Language Models
On Extractive and Abstractive Neural Document Summarization with Transformer Language Models
Sandeep Subramanian
Raymond Li
Jonathan Pilault
C. Pal
212
184
0
07 Sep 2019
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
230
1,282
0
22 Aug 2019
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