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From Words to Code: Harnessing Data for Program Synthesis from Natural
  Language
v1v2 (latest)

From Words to Code: Harnessing Data for Program Synthesis from Natural Language

2 May 2023
Anirudh Khatry
Joyce Cahoon
Jordan Henkel
Shaleen Deep
Venkatesh Emani
Avrilia Floratou
Sumit Gulwani
Vu Le
Mohammad Raza
Sherry Shi
Mukul Singh
A. Tiwari
ArXiv (abs)PDFHTML

Papers citing "From Words to Code: Harnessing Data for Program Synthesis from Natural Language"

25 / 25 papers shown
Title
LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?
LLM-SQL-Solver: Can LLMs Determine SQL Equivalence?
Fuheng Zhao
Lawrence Lim
Ishtiyaque Ahmad
D. Agrawal
A. El Abbadi
Amr El Abbadi
119
12
0
16 Dec 2023
Towards Foundation Models for Relational Databases [Vision Paper]
Towards Foundation Models for Relational Databases [Vision Paper]
Liane Vogel
Benjamin Hilprecht
Carsten Binnig
LMTD
36
10
0
24 May 2023
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with
  Self-Correction
DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction
Mohammadreza Pourreza
Davood Rafiei
ReLMLRM
78
354
0
21 Apr 2023
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
Simran Arora
Brandon Yang
Sabri Eyuboglu
A. Narayan
Andrew Hojel
Immanuel Trummer
Christopher Ré
SyDa
129
83
0
19 Apr 2023
LEVER: Learning to Verify Language-to-Code Generation with Execution
LEVER: Learning to Verify Language-to-Code Generation with Execution
Ansong Ni
Srini Iyer
Dragomir R. Radev
Ves Stoyanov
Wen-tau Yih
Sida I. Wang
Xi Lin
103
226
0
16 Feb 2023
Coder Reviewer Reranking for Code Generation
Coder Reviewer Reranking for Code Generation
Tianyi Zhang
Tao Yu
Tatsunori B. Hashimoto
M. Lewis
Wen-tau Yih
Daniel Fried
Sida I. Wang
97
96
0
29 Nov 2022
Program of Thoughts Prompting: Disentangling Computation from Reasoning
  for Numerical Reasoning Tasks
Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks
Wenhu Chen
Xueguang Ma
Xinyi Wang
William W. Cohen
ReLMReCodLRM
180
825
0
22 Nov 2022
Rethinking the Role of Demonstrations: What Makes In-Context Learning
  Work?
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?
Sewon Min
Xinxi Lyu
Ari Holtzman
Mikel Artetxe
M. Lewis
Hannaneh Hajishirzi
Luke Zettlemoyer
LLMAGLRM
191
1,501
0
25 Feb 2022
Competition-Level Code Generation with AlphaCode
Competition-Level Code Generation with AlphaCode
Yujia Li
David Choi
Junyoung Chung
Nate Kushman
Julian Schrittwieser
...
Esme Sutherland Robson
Pushmeet Kohli
Nando de
Koray Kavukcuoglu
Oriol Vinyals
148
1,425
0
08 Feb 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&RoLRMAI4CEReLM
853
9,714
0
28 Jan 2022
Synchromesh: Reliable code generation from pre-trained language models
Synchromesh: Reliable code generation from pre-trained language models
Gabriel Poesia
Oleksandr Polozov
Vu Le
A. Tiwari
Gustavo Soares
Christopher Meek
Sumit Gulwani
66
162
0
26 Jan 2022
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding
  from Language Models
PICARD: Parsing Incrementally for Constrained Auto-Regressive Decoding from Language Models
Torsten Scholak
Nathan Schucher
Dzmitry Bahdanau
216
392
0
10 Sep 2021
Program Synthesis with Large Language Models
Program Synthesis with Large Language Models
Jacob Austin
Augustus Odena
Maxwell Nye
Maarten Bosma
Henryk Michalewski
...
Ellen Jiang
Carrie J. Cai
Michael Terry
Quoc V. Le
Charles Sutton
ELMAIMatReCodALM
216
2,009
0
16 Aug 2021
Evaluating Large Language Models Trained on Code
Evaluating Large Language Models Trained on Code
Mark Chen
Jerry Tworek
Heewoo Jun
Qiming Yuan
Henrique Pondé
...
Bob McGrew
Dario Amodei
Sam McCandlish
Ilya Sutskever
Wojciech Zaremba
ELMALM
238
5,675
0
07 Jul 2021
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with
  Language Models
Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models
Robert L Logan IV
Ivana Balavzević
Eric Wallace
Fabio Petroni
Sameer Singh
Sebastian Riedel
VPVLM
102
212
0
24 Jun 2021
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers
Chia-Hsuan Lee
Oleksandr Polozov
Matthew Richardson
LMTDRALM
75
92
0
22 Jun 2021
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Factual Probing Is [MASK]: Learning vs. Learning to Recall
Zexuan Zhong
Dan Friedman
Danqi Chen
56
412
0
12 Apr 2021
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
AAMLRALM
390
1,392
0
17 Jan 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
252
4,305
0
01 Jan 2021
Optimizing Deeper Transformers on Small Datasets
Optimizing Deeper Transformers on Small Datasets
Peng Xu
Dhruv Kumar
Wei Yang
Wenjie Zi
Keyi Tang
Chenyang Huang
Jackie C.K. Cheung
S. Prince
Yanshuai Cao
AI4CE
91
69
0
30 Dec 2020
Compositional Generalization and Natural Language Variation: Can a
  Semantic Parsing Approach Handle Both?
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?
Peter Shaw
Ming-Wei Chang
Panupong Pasupat
Kristina Toutanova
CoGe
78
187
0
24 Oct 2020
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot
  Learners
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick
Hinrich Schütze
132
976
0
15 Sep 2020
How Can We Know What Language Models Know?
How Can We Know What Language Models Know?
Zhengbao Jiang
Frank F. Xu
Jun Araki
Graham Neubig
KELM
146
1,412
0
28 Nov 2019
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain
  Semantic Parsing and Text-to-SQL Task
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu
Rui Zhang
Kai-Chou Yang
Michihiro Yasunaga
Dongxu Wang
...
Irene Li
Qingning Yao
Shanelle Roman
Zilin Zhang
Dragomir R. Radev
RALM
124
1,245
0
24 Sep 2018
A Diversity-Promoting Objective Function for Neural Conversation Models
A Diversity-Promoting Objective Function for Neural Conversation Models
Jiwei Li
Michel Galley
Chris Brockett
Jianfeng Gao
W. Dolan
149
2,406
0
11 Oct 2015
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