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. 2405.02213
  4. Cited By
Automatic Programming: Large Language Models and Beyond
v1v2 (latest)

Automatic Programming: Large Language Models and Beyond

3 May 2024
Michael R. Lyu
Baishakhi Ray
Abhik Roychoudhury
Shin Hwei Tan
Patanamon Thongtanunam
ArXiv (abs)PDFHTML

Papers citing "Automatic Programming: Large Language Models and Beyond"

32 / 32 papers shown
Title
Transferable Foundation Models for Geometric Tasks on Point Cloud Representations: Geometric Neural Operators
Transferable Foundation Models for Geometric Tasks on Point Cloud Representations: Geometric Neural Operators
Blaine Quackenbush
P. Atzberger
3DPCAI4CE
132
2
0
06 Mar 2025
Integrating Expert Knowledge into Logical Programs via LLMs
Integrating Expert Knowledge into Logical Programs via LLMs
Franciszek Górski
Oskar Wysocki
Marco Valentino
André Freitas
428
0
0
17 Feb 2025
WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
Huawen Feng
Pu Zhao
Qingfeng Sun
Can Xu
Fangkai Yang
...
Qianli Ma
Qingwei Lin
Saravan Rajmohan
Dongmei Zhang
Qi Zhang
AAMLALM
127
0
0
23 Dec 2024
Mastering the Craft of Data Synthesis for CodeLLMs
Mastering the Craft of Data Synthesis for CodeLLMs
Meng Chen
Philip Arthur
Qianyu Feng
Cong Duy Vu Hoang
Yu-Heng Hong
...
Mark Johnson
Kemal Kurniawan
Don Dharmasiri
Long Duong
Yuan-Fang Li
SyDa
112
1
0
16 Oct 2024
Code-Aware Prompting: A study of Coverage Guided Test Generation in
  Regression Setting using LLM
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM
Gabriel Ryan
Siddhartha Jain
Mingyue Shang
Shiqi Wang
Xiaofei Ma
M. K. Ramanathan
Baishakhi Ray
LRM
49
67
0
31 Jan 2024
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional
  Correctness
NoFunEval: Funny How Code LMs Falter on Requirements Beyond Functional Correctness
Manav Singhal
Tushar Aggarwal
Abhijeet Awasthi
Nagarajan Natarajan
Aditya Kanade
62
14
0
29 Jan 2024
CodeScope: An Execution-based Multilingual Multitask Multidimensional
  Benchmark for Evaluating LLMs on Code Understanding and Generation
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation
Weixiang Yan
Haitian Liu
Yunkun Wang
Yunzhe Li
Qian Chen
...
Tingyu Lin
Weishan Zhao
Li Zhu
Hari Sundaram
Shuiguang Deng
ELMLRM
90
37
0
14 Nov 2023
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Ziyang Luo
Can Xu
Pu Zhao
Qingfeng Sun
Xiubo Geng
Wenxiang Hu
Chongyang Tao
Jing Ma
Qingwei Lin
Daxin Jiang
ELMSyDaALM
95
679
0
14 Jun 2023
ChatGPT: A Study on its Utility for Ubiquitous Software Engineering
  Tasks
ChatGPT: A Study on its Utility for Ubiquitous Software Engineering Tasks
G. Sridhara
Ranjani H.G.
Sourav Mazumdar
LLMAGELMAI4MH
35
38
0
26 May 2023
Large Language Models and Simple, Stupid Bugs
Large Language Models and Simple, Stupid Bugs
Kevin Jesse
Toufique Ahmed
Prem Devanbu
Emily Morgan
ELM
68
54
0
20 Mar 2023
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1
  Problems Using Natural Language
Conversing with Copilot: Exploring Prompt Engineering for Solving CS1 Problems Using Natural Language
Paul Denny
Viraj Kumar
Nasser Giacaman
64
244
0
27 Oct 2022
CoditT5: Pretraining for Source Code and Natural Language Editing
CoditT5: Pretraining for Source Code and Natural Language Editing
Jiyang Zhang
Sheena Panthaplackel
Pengyu Nie
Junyi Jessy Li
Miloš Gligorić
KELM
76
91
0
10 Aug 2022
Repository-Level Prompt Generation for Large Language Models of Code
Repository-Level Prompt Generation for Large Language Models of Code
Disha Shrivastava
Hugo Larochelle
Daniel Tarlow
79
141
0
26 Jun 2022
CERT: Continual Pre-Training on Sketches for Library-Oriented Code
  Generation
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation
Daoguang Zan
Bei Chen
Dejian Yang
Zeqi Lin
Minsu Kim
Bei Guan
Yongji Wang
Weizhu Chen
Jian-Guang Lou
62
121
0
14 Jun 2022
InCoder: A Generative Model for Code Infilling and Synthesis
InCoder: A Generative Model for Code Infilling and Synthesis
Daniel Fried
Armen Aghajanyan
Jessy Lin
Sida I. Wang
Eric Wallace
Freda Shi
Ruiqi Zhong
Wen-tau Yih
Luke Zettlemoyer
M. Lewis
SyDa
69
647
0
12 Apr 2022
Automating Code Review Activities by Large-Scale Pre-training
Automating Code Review Activities by Large-Scale Pre-training
Zhiyu Li
Shuai Lu
Daya Guo
Nan Duan
Shailesh Jannu
...
Deep Majumder
Jared Green
Alexey Svyatkovskiy
Shengyu Fu
Neel Sundaresan
VLM
70
150
0
17 Mar 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
143
1,403
0
08 Feb 2022
Assemble Foundation Models for Automatic Code Summarization
Assemble Foundation Models for Automatic Code Summarization
Jian Gu
P. Salza
H. Gall
66
35
0
13 Jan 2022
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
289
1,560
0
02 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
200
1,986
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
233
5,635
0
07 Jul 2021
A Syntax-Guided Edit Decoder for Neural Program Repair
A Syntax-Guided Edit Decoder for Neural Program Repair
Qihao Zhu
Zeyu Sun
Yuan-an Xiao
Wenjie Zhang
Kang Yuan
Y. Xiong
Lu Zhang
KELM
95
223
0
15 Jun 2021
Measuring Coding Challenge Competence With APPS
Measuring Coding Challenge Competence With APPS
Dan Hendrycks
Steven Basart
Saurav Kadavath
Mantas Mazeika
Akul Arora
...
Collin Burns
Samir Puranik
Horace He
Basel Alomair
Jacob Steinhardt
ELMAIMatALM
257
700
0
20 May 2021
Carbon Emissions and Large Neural Network Training
Carbon Emissions and Large Neural Network Training
David A. Patterson
Joseph E. Gonzalez
Quoc V. Le
Chen Liang
Lluís-Miquel Munguía
D. Rothchild
David R. So
Maud Texier
J. Dean
AI4CE
335
670
0
21 Apr 2021
Unified Pre-training for Program Understanding and Generation
Unified Pre-training for Program Understanding and Generation
Wasi Uddin Ahmad
Saikat Chakraborty
Baishakhi Ray
Kai-Wei Chang
135
769
0
10 Mar 2021
CoreGen: Contextualized Code Representation Learning for Commit Message
  Generation
CoreGen: Contextualized Code Representation Learning for Commit Message Generation
L. Nie
Cuiyun Gao
Zhicong Zhong
Wai Lam
Yang Liu
Zenglin Xu
49
49
0
14 Jul 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
165
2,637
0
19 Feb 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
608
4,893
0
23 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
520
42,559
0
03 Dec 2019
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
60
173
0
22 Nov 2019
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair
Zimin Chen
Steve Kommrusch
Michele Tufano
L. Pouchet
Denys Poshyvanyk
Monperrus Martin
KELM
68
439
0
24 Dec 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
61
232
0
05 Oct 2018
1