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GAP-Gen: Guided Automatic Python Code Generation

GAP-Gen: Guided Automatic Python Code Generation

19 January 2022
Junchen Zhao
Yurun Song
Junlin Wang
Ian G. Harris
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Papers citing "GAP-Gen: Guided Automatic Python Code Generation"

31 / 31 papers shown
Title
RETROcode: Leveraging a Code Database for Improved Natural Language to Code Generation
RETROcode: Leveraging a Code Database for Improved Natural Language to Code Generation
Nathanael Beau
Benoît Crabbé
74
0
0
08 Apr 2025
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for
  Code Understanding and Generation
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang
Weishi Wang
Shafiq Joty
Guosheng Lin
280
1,552
0
02 Sep 2021
Implicit Unlikelihood Training: Improving Neural Text Generation with
  Reinforcement Learning
Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning
E. Lagutin
Daniil Gavrilov
Pavel Kalaidin
50
18
0
11 Jan 2021
PyMT5: multi-mode translation of natural language and Python code with
  transformers
PyMT5: multi-mode translation of natural language and Python code with transformers
Colin B. Clement
Dawn Drain
Jonathan Timcheck
Alexey Svyatkovskiy
Neel Sundaresan
49
154
0
07 Oct 2020
If beam search is the answer, what was the question?
If beam search is the answer, what was the question?
Clara Meister
Tim Vieira
Ryan Cotterell
48
141
0
06 Oct 2020
Autoregressive Entity Retrieval
Autoregressive Entity Retrieval
Nicola De Cao
Gautier Izacard
Sebastian Riedel
Fabio Petroni
150
441
0
02 Oct 2020
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis
Shuo Ren
Daya Guo
Shuai Lu
Long Zhou
Shujie Liu
Duyu Tang
Neel Sundaresan
M. Zhou
Ambrosio Blanco
Shuai Ma
ELM
99
525
0
22 Sep 2020
A Transformer-based Approach for Source Code Summarization
A Transformer-based Approach for Source Code Summarization
Wasi Uddin Ahmad
Saikat Chakraborty
Baishakhi Ray
Kai-Wei Chang
ViT
79
379
0
01 May 2020
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State
  Tracking
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking
Hannah Rashkin
Asli Celikyilmaz
Yejin Choi
Jianfeng Gao
54
153
0
30 Apr 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Zhangyin Feng
Daya Guo
Duyu Tang
Nan Duan
Xiaocheng Feng
...
Linjun Shou
Bing Qin
Ting Liu
Daxin Jiang
Ming Zhou
140
2,613
0
19 Feb 2020
REALM: Retrieval-Augmented Language Model Pre-Training
REALM: Retrieval-Augmented Language Model Pre-Training
Kelvin Guu
Kenton Lee
Zora Tung
Panupong Pasupat
Ming-Wei Chang
RALM
103
2,090
0
10 Feb 2020
Optimizing the Factual Correctness of a Summary: A Study of Summarizing
  Radiology Reports
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
Yuhao Zhang
Derek Merck
E. Tsai
Christopher D. Manning
C. Langlotz
MedIm
HILM
54
185
0
06 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMat
VLM
211
10,792
0
29 Oct 2019
Machine Translation from Natural Language to Code using Long-Short Term
  Memory
Machine Translation from Natural Language to Code using Long-Short Term Memory
K. M. T. H. Rahit
Rashidul Hasan Nabil
Md Hasibul Huq
34
13
0
25 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
369
20,053
0
23 Oct 2019
Do Massively Pretrained Language Models Make Better Storytellers?
Do Massively Pretrained Language Models Make Better Storytellers?
A. See
Aneesh S. Pappu
Rohun Saxena
Akhila Yerukola
Christopher D. Manning
87
168
0
24 Sep 2019
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain
Hongqiu Wu
Tiferet Gazit
Miltiadis Allamanis
Marc Brockschmidt
ELM
123
1,068
0
20 Sep 2019
How Contextual are Contextualized Word Representations? Comparing the
  Geometry of BERT, ELMo, and GPT-2 Embeddings
How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings
Kawin Ethayarajh
74
868
0
02 Sep 2019
Revealing the Dark Secrets of BERT
Revealing the Dark Secrets of BERT
Olga Kovaleva
Alexey Romanov
Anna Rogers
Anna Rumshisky
36
552
0
21 Aug 2019
Neural Text Generation with Unlikelihood Training
Neural Text Generation with Unlikelihood Training
Sean Welleck
Ilia Kulikov
Stephen Roller
Emily Dinan
Kyunghyun Cho
Jason Weston
MU
39
575
0
12 Aug 2019
Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained
  Language Models for Task-Oriented Dialogue Systems
Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems
Paweł Budzianowski
Ivan Vulić
62
310
0
12 Jul 2019
On the Weaknesses of Reinforcement Learning for Neural Machine
  Translation
On the Weaknesses of Reinforcement Learning for Neural Machine Translation
Leshem Choshen
Lior Fox
Zohar Aizenbud
Omri Abend
77
107
0
03 Jul 2019
The Curious Case of Neural Text Degeneration
The Curious Case of Neural Text Degeneration
Ari Holtzman
Jan Buys
Li Du
Maxwell Forbes
Yejin Choi
170
3,160
0
22 Apr 2019
Attention is not Explanation
Attention is not Explanation
Sarthak Jain
Byron C. Wallace
FAtt
122
1,319
0
26 Feb 2019
Plan-And-Write: Towards Better Automatic Storytelling
Plan-And-Write: Towards Better Automatic Storytelling
Lili Yao
Nanyun Peng
R. Weischedel
Kevin Knight
Dongyan Zhao
Rui Yan
77
408
0
14 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.5K
94,511
0
11 Oct 2018
Hierarchical Neural Story Generation
Hierarchical Neural Story Generation
Angela Fan
M. Lewis
Yann N. Dauphin
DiffM
170
1,615
0
13 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
884
7,141
0
20 Apr 2018
A parallel corpus of Python functions and documentation strings for
  automated code documentation and code generation
A parallel corpus of Python functions and documentation strings for automated code documentation and code generation
Antonio Valerio Miceli Barone
Rico Sennrich
65
158
0
07 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
628
130,942
0
12 Jun 2017
Latent Predictor Networks for Code Generation
Latent Predictor Networks for Code Generation
Wang Ling
Edward Grefenstette
Karl Moritz Hermann
Tomás Kociský
A. Senior
Fumin Wang
Phil Blunsom
56
385
0
22 Mar 2016
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