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Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing
29 September 2022
Yury Zemlyanskiy
Michiel de Jong
Joshua Ainslie
Panupong Pasupat
Peter Shaw
Linlu Qiu
Sumit Sanghai
Fei Sha
RALM
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Papers citing
"Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing"
6 / 6 papers shown
Title
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation
Aswanth Kumar
Ratish Puduppully
Raj Dabre
Anoop Kunchukuttan
38
12
0
23 May 2023
Active Retrieval Augmented Generation
Zhengbao Jiang
Frank F. Xu
Luyu Gao
Zhiqing Sun
Qian Liu
Jane Dwivedi-Yu
Yiming Yang
Jamie Callan
Graham Neubig
RALM
20
254
0
11 May 2023
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation
Fengji Zhang
B. Chen
Yue Zhang
Jacky Keung
Jin Liu
Daoguang Zan
Yi Mao
Jian-Guang Lou
Weizhu Chen
27
219
0
22 Mar 2023
Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing
Akshat Shrivastava
Shrey Desai
Anchit Gupta
A. Elkahky
Aleksandr Livshits
Alexander Zotov
Ahmed Aly
135
6
0
02 Feb 2022
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat
Yuan Zhang
Kelvin Guu
132
47
0
16 Oct 2021
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,919
0
31 Dec 2020
1