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Neural Program Generation Modulo Static Analysis

Neural Program Generation Modulo Static Analysis

26 October 2021
Rohan Mukherjee
Yeming Wen
Dipak Chaudhari
Thomas W. Reps
Swarat Chaudhuri
C. Jermaine
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Papers citing "Neural Program Generation Modulo Static Analysis"

17 / 17 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
19
0
0
15 May 2025
SEED: Customize Large Language Models with Sample-Efficient Adaptation
  for Code Generation
SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation
Xue Jiang
Yihong Dong
Zhi Jin
Ge Li
VLM
39
4
0
29 Feb 2024
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation
  with Large Language Models
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
M. Weyssow
Xin Zhou
Kisub Kim
David Lo
H. Sahraoui
30
27
0
21 Aug 2023
COMEX: A Tool for Generating Customized Source Code Representations
COMEX: A Tool for Generating Customized Source Code Representations
Debeshee Das
N. Mathews
Alex Mathai
Srikanth G. Tamilselvam
Kranthi Sedamaki
S. Chimalakonda
Atul Kumar
VLM
13
5
0
10 Jul 2023
Guiding Language Models of Code with Global Context using Monitors
Guiding Language Models of Code with Global Context using Monitors
Lakshya A Agrawal
Aditya Kanade
Navin Goyal
Shuvendu K. Lahiri
S. Rajamani
38
23
0
19 Jun 2023
Coarse-Tuning Models of Code with Reinforcement Learning Feedback
Coarse-Tuning Models of Code with Reinforcement Learning Feedback
Abhinav C. P. Jain
Chima Adiole
Swarat Chaudhuri
Thomas W. Reps
Chris Jermaine Rice University
ALM
17
2
0
25 May 2023
Fault-Aware Neural Code Rankers
Fault-Aware Neural Code Rankers
J. Inala
Chenglong Wang
Mei Yang
Andrés Codas
Mark Encarnación
Shuvendu K. Lahiri
Madan Musuvathi
Jianfeng Gao
ALM
19
41
0
04 Jun 2022
Transformer-based Program Synthesis for Low-Data Environments
Transformer-based Program Synthesis for Low-Data Environments
Jack Roper
21
1
0
18 May 2022
On Distribution Shift in Learning-based Bug Detectors
On Distribution Shift in Learning-based Bug Detectors
Jingxuan He
Luca Beurer-Kellner
Martin Vechev
14
18
0
21 Apr 2022
A Survey on Deep Graph Generation: Methods and Applications
A Survey on Deep Graph Generation: Methods and Applications
Yanqiao Zhu
Yuanqi Du
Yinkai Wang
Yichen Xu
Jieyu Zhang
Qiang Liu
Shu Wu
3DV
GNN
31
67
0
13 Mar 2022
Fooling MOSS Detection with Pretrained Language Models
Fooling MOSS Detection with Pretrained Language Models
Stella Biderman
Edward Raff
DeLMO
17
35
0
19 Jan 2022
Datasheet for the Pile
Datasheet for the Pile
Stella Biderman
Kieran Bicheno
Leo Gao
47
35
0
13 Jan 2022
XFL: Naming Functions in Binaries with Extreme Multi-label Learning
XFL: Naming Functions in Binaries with Extreme Multi-label Learning
James Patrick-Evans
Moritz Dannehl
Johannes Kinder
16
10
0
28 Jul 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
D. Song
Jacob Steinhardt
ELM
AIMat
ALM
194
624
0
20 May 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding
  and Generation
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Shuai Lu
Daya Guo
Shuo Ren
Junjie Huang
Alexey Svyatkovskiy
...
Nan Duan
Neel Sundaresan
Shao Kun Deng
Shengyu Fu
Shujie Liu
ELM
198
853
0
09 Feb 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
250
1,986
0
31 Dec 2020
Learning Differentiable Programs with Admissible Neural Heuristics
Learning Differentiable Programs with Admissible Neural Heuristics
Ameesh Shah
Eric Zhan
Jennifer J. Sun
Abhinav Verma
Yisong Yue
Swarat Chaudhuri
126
43
0
23 Jul 2020
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