ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1603.06744
  4. Cited By
Latent Predictor Networks for Code Generation

Latent Predictor Networks for Code Generation

22 March 2016
Wang Ling
Edward Grefenstette
Karl Moritz Hermann
Tomás Kociský
A. Senior
Fumin Wang
Phil Blunsom
ArXivPDFHTML

Papers citing "Latent Predictor Networks for Code Generation"

50 / 72 papers shown
Title
Rethinking Repetition Problems of LLMs in Code Generation
Rethinking Repetition Problems of LLMs in Code Generation
Yihong Dong
Yuchen Liu
Xue Jiang
Zhi Jin
Ge Li
24
0
0
15 May 2025
Sigma: A dataset for text-to-code semantic parsing with statistical analysis
Sigma: A dataset for text-to-code semantic parsing with statistical analysis
Saleh Almohaimeed
Shenyang Liu
May Alsofyani
Saad Almohaimeed
Liqiang Wang
39
0
0
05 Apr 2025
Pragmatic Reasoning improves LLM Code Generation
Pragmatic Reasoning improves LLM Code Generation
Zhuchen Cao
Sven Apel
Adish Singla
Vera Demberg
LRM
42
0
0
20 Feb 2025
Exploring Code Language Models for Automated HLS-based Hardware Generation: Benchmark, Infrastructure and Analysis
Jiahao Gai
Chen
Zhican Wang
Hongyu Zhou
Wanru Zhao
Nicholas D. Lane
Hongxiang Fan
54
1
0
19 Feb 2025
Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation
  of LLM-Supported SE Tasks
Rocks Coding, Not Development--A Human-Centric, Experimental Evaluation of LLM-Supported SE Tasks
Wei Wang
Huilong Ning
Gaowei Zhang
Libo Liu
Yi Wang
34
11
0
08 Feb 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit
Yao Wan
Yang He
Zhangqian Bi
Jianguo Zhang
Hongyu Zhang
Yulei Sui
Guandong Xu
Hai Jin
Philip S. Yu
45
21
0
30 Dec 2023
Natural Language Processing for Requirements Formalization: How to
  Derive New Approaches?
Natural Language Processing for Requirements Formalization: How to Derive New Approaches?
Viju Sudhi
Libin Kutty
Robin Gröpler
21
4
0
23 Sep 2023
Neural Machine Translation for Code Generation
Neural Machine Translation for Code Generation
K. Dharma
Clayton T. Morrison
32
4
0
22 May 2023
Think Outside the Code: Brainstorming Boosts Large Language Models in
  Code Generation
Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation
Xinyu Li
Jiang-Tian Xue
Zheng Xie
Ming Li
LRM
24
27
0
18 May 2023
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program
  Repair
KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair
Nan Jiang
Thibaud Lutellier
Yiling Lou
Lin Tan
Dan Goldwasser
Xinming Zhang
27
44
0
03 Feb 2023
Who Evaluates the Evaluators? On Automatic Metrics for Assessing
  AI-based Offensive Code Generators
Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators
Pietro Liguori
Cristina Improta
R. Natella
B. Cukic
Domenico Cotroneo
ELM
36
16
0
12 Dec 2022
UI Layers Group Detector: Grouping UI Layers via Text Fusion and Box
  Attention
UI Layers Group Detector: Grouping UI Layers via Text Fusion and Box Attention
Shuhong Xiao
Tingting Zhou
Yunnong Chen
Dengming Zhang
Liuqing Chen
Lingyun Sun
Shiyu Yue
21
4
0
07 Dec 2022
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
44
93
0
29 Nov 2022
CodePAD: Sequence-based Code Generation with Pushdown Automaton
CodePAD: Sequence-based Code Generation with Pushdown Automaton
Yihong Dong
Xue Jiang
Yuchen Liu
Ge Li
Zhi Jin
28
6
0
02 Nov 2022
Antecedent Predictions Are More Important Than You Think: An Effective
  Method for Tree-Based Code Generation
Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation
Yihong Dong
Ge Li
Xue Jiang
Zhi Jin
18
1
0
22 Aug 2022
Transformer with Tree-order Encoding for Neural Program Generation
Transformer with Tree-order Encoding for Neural Program Generation
Klaudia Thellmann
Bernhard Stadler
Ricardo Usbeck
Jens Lehmann
27
1
0
30 May 2022
Leveraging Causal Inference for Explainable Automatic Program Repair
Leveraging Causal Inference for Explainable Automatic Program Repair
Jianzong Wang
Shijing Si
Z. Zhu
Xiaoyang Qu
Zhenhou Hong
Jing Xiao
27
3
0
26 May 2022
Natural Language to Code Translation with Execution
Natural Language to Code Translation with Execution
Freda Shi
Daniel Fried
Marjan Ghazvininejad
Luke Zettlemoyer
Sida I. Wang
38
124
0
25 Apr 2022
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages
Zhiruo Wang
Grace Cuenca
Shuyan Zhou
Frank F. Xu
Graham Neubig
29
50
0
16 Mar 2022
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems
  Perspective
A Survey on Artificial Intelligence for Source Code: A Dialogue Systems Perspective
Erfan Al-Hossami
Samira Shaikh
32
6
0
10 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
26
1,313
0
08 Feb 2022
Neural Program Generation Modulo Static Analysis
Neural Program Generation Modulo Static Analysis
Rohan Mukherjee
Yeming Wen
Dipak Chaudhari
Thomas W. Reps
Swarat Chaudhuri
C. Jermaine
32
24
0
26 Oct 2021
Sequence-to-Sequence Learning with Latent Neural Grammars
Sequence-to-Sequence Learning with Latent Neural Grammars
Yoon Kim
33
40
0
02 Sep 2021
CGEMs: A Metric Model for Automatic Code Generation using GPT-3
CGEMs: A Metric Model for Automatic Code Generation using GPT-3
Aishwarya Narasimhan
Krishna Prasad Agara Venkatesha Rao
Veena M B B M S College of Engineering
29
18
0
23 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
ELM
ALM
83
5,135
0
07 Jul 2021
Reading StackOverflow Encourages Cheating: Adding Question Text Improves
  Extractive Code Generation
Reading StackOverflow Encourages Cheating: Adding Question Text Improves Extractive Code Generation
Gabriel Orlanski
Alex Gittens
29
20
0
08 Jun 2021
Exploring Dynamic Selection of Branch Expansion Orders for Code
  Generation
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
Hui Jiang
Chulun Zhou
Fandong Meng
Biao Zhang
Jie Zhou
Degen Huang
Qingqiang Wu
Jinsong Su
21
20
0
01 Jun 2021
Shellcode_IA32: A Dataset for Automatic Shellcode Generation
Shellcode_IA32: A Dataset for Automatic Shellcode Generation
Pietro Liguori
Erfan Al-Hossami
Domenico Cotroneo
R. Natella
B. Cukic
Samira Shaikh
34
27
0
27 Apr 2021
Toward Code Generation: A Survey and Lessons from Semantic Parsing
Toward Code Generation: A Survey and Lessons from Semantic Parsing
Celine Lee
Justin Emile Gottschlich
Dan Roth Intel Labs
3DV
33
15
0
26 Apr 2021
Code Generation from Natural Language with Less Prior and More
  Monolingual Data
Code Generation from Natural Language with Less Prior and More Monolingual Data
Sajad Norouzi
Keyi Tang
Yanshuai Cao
20
19
0
01 Jan 2021
Iterative Utterance Segmentation for Neural Semantic Parsing
Iterative Utterance Segmentation for Neural Semantic Parsing
Yinuo Guo
Zeqi Lin
Jian-Guang Lou
Dongmei Zhang
44
3
0
13 Dec 2020
ReAssert: Deep Learning for Assert Generation
ReAssert: Deep Learning for Assert Generation
Robert White
J. Krinke
34
14
0
19 Nov 2020
Copy that! Editing Sequences by Copying Spans
Copy that! Editing Sequences by Copying Spans
Sheena Panthaplackel
Miltiadis Allamanis
Marc Brockschmidt
BDL
21
28
0
08 Jun 2020
TreeGen: A Tree-Based Transformer Architecture for Code Generation
TreeGen: A Tree-Based Transformer Architecture for Code Generation
Zeyu Sun
Qihao Zhu
Yingfei Xiong
Yican Sun
Lili Mou
Lu Zhang
25
173
0
22 Nov 2019
Multi-Task Learning for Conversational Question Answering over a
  Large-Scale Knowledge Base
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base
Tao Shen
Xiubo Geng
Tao Qin
Daya Guo
Duyu Tang
Nan Duan
Guodong Long
Daxin Jiang
33
81
0
11 Oct 2019
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain
  Context-based Code Generation
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation
R. Agashe
R. Campello
Arthur Zimek
36
83
0
05 Oct 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
81
1,050
0
20 Sep 2019
Program Synthesis and Semantic Parsing with Learned Code Idioms
Program Synthesis and Semantic Parsing with Learned Code Idioms
Richard Shin
Miltiadis Allamanis
Marc Brockschmidt
Oleksandr Polozov
24
87
0
26 Jun 2019
Learning Programmatic Idioms for Scalable Semantic Parsing
Learning Programmatic Idioms for Scalable Semantic Parsing
Srini Iyer
Alvin Cheung
Luke Zettlemoyer
35
44
0
19 Apr 2019
Neural Networks for Modeling Source Code Edits
Neural Networks for Modeling Source Code Edits
Rui Zhao
David Bieber
Kevin Swersky
Daniel Tarlow
19
12
0
04 Apr 2019
A Retrieve-and-Edit Framework for Predicting Structured Outputs
A Retrieve-and-Edit Framework for Predicting Structured Outputs
Tatsunori B. Hashimoto
Kelvin Guu
Yonatan Oren
Percy Liang
BDL
KELM
36
174
0
04 Dec 2018
Learning to Discover, Ground and Use Words with Segmental Neural
  Language Models
Learning to Discover, Ground and Use Words with Segmental Neural Language Models
Kazuya Kawakami
Chris Dyer
Phil Blunsom
VLM
15
11
0
23 Nov 2018
Improving Automatic Source Code Summarization via Deep Reinforcement
  Learning
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
Yao Wan
Zhou Zhao
Min Yang
Guandong Xu
Haochao Ying
Jian Wu
Philip S. Yu
30
382
0
17 Nov 2018
Neural Networks Models for Analyzing Magic: the Gathering Cards
Neural Networks Models for Analyzing Magic: the Gathering Cards
Felipe Zilio
Marcelo O. R. Prates
Luís C. Lamb
18
7
0
08 Oct 2018
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic
  Parsing and Code Generation
TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
Pengcheng Yin
Graham Neubig
MU
29
228
0
05 Oct 2018
Retrieval-Based Neural Code Generation
Retrieval-Based Neural Code Generation
Shirley Anugrah Hayati
R. Olivier
Pravalika Avvaru
Pengcheng Yin
A. Tomasic
Graham Neubig
134
110
0
29 Aug 2018
Multi-Source Pointer Network for Product Title Summarization
Multi-Source Pointer Network for Product Title Summarization
Fei Sun
Peng Jiang
Hanxiao Sun
Changhua Pei
Wenwu Ou
Xiaobo Wang
29
47
0
21 Aug 2018
NAPS: Natural Program Synthesis Dataset
NAPS: Natural Program Synthesis Dataset
Maksym Zavershynskyi
Alexander Skidanov
Illia Polosukhin
ReCod
22
36
0
06 Jul 2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised
  Semantic Parsing
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
Pengcheng Yin
Chunting Zhou
Junxian He
Graham Neubig
GNN
33
102
0
20 Jun 2018
VirtualHome: Simulating Household Activities via Programs
VirtualHome: Simulating Household Activities via Programs
Xavier Puig
K. Ra
Marko Boben
Jiaman Li
Tingwu Wang
Sanja Fidler
Antonio Torralba
LM&Ro
30
477
0
19 Jun 2018
12
Next