ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.07313
  4. Cited By
Evaluation of Generalizability of Neural Program Analyzers under
  Semantic-Preserving Transformations
v1v2 (latest)

Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations

15 April 2020
Md Rafiqul Islam Rabin
Mohammad Amin Alipour
    NAI
ArXiv (abs)PDFHTML

Papers citing "Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations"

12 / 12 papers shown
Assessing Code Understanding in LLMs
Assessing Code Understanding in LLMsFormal Techniques for (Networked and) Distributed Systems (FTNDS), 2025
Cosimo Laneve
Alvise Spanò
Dalila Ressi
S. Rossi
M. Bugliesi
332
1
0
31 Mar 2025
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
255
4
0
25 May 2023
CLAWSAT: Towards Both Robust and Accurate Code Models
CLAWSAT: Towards Both Robust and Accurate Code ModelsIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022
Jinghan Jia
Shashank Srikant
Tamara Mitrovska
Chuang Gan
Shiyu Chang
Sijia Liu
Una-May O’Reilly
AAML
423
15
0
21 Nov 2022
Extracting Label-specific Key Input Features for Neural Code
  Intelligence Models
Extracting Label-specific Key Input Features for Neural Code Intelligence Models
Md Rafiqul Islam Rabin
AAML
176
0
0
14 Feb 2022
Memorization and Generalization in Neural Code Intelligence Models
Memorization and Generalization in Neural Code Intelligence Models
Md Rafiqul Islam Rabin
Aftab Hussain
Mohammad Amin Alipour
Vincent J. Hellendoorn
TDI
376
48
0
16 Jun 2021
Understanding Neural Code Intelligence Through Program Simplification
Understanding Neural Code Intelligence Through Program Simplification
Md Rafiqul Islam Rabin
Vincent J. Hellendoorn
Mohammad Amin Alipour
AAML
317
71
0
07 Jun 2021
Generating Adversarial Computer Programs using Optimized Obfuscations
Generating Adversarial Computer Programs using Optimized ObfuscationsInternational Conference on Learning Representations (ICLR), 2021
Shashank Srikant
Sijia Liu
Tamara Mitrovska
Shiyu Chang
Quanfu Fan
Gaoyuan Zhang
Una-May O’Reilly
AAML
299
59
0
18 Mar 2021
STRATA: Simple, Gradient-Free Attacks for Models of Code
STRATA: Simple, Gradient-Free Attacks for Models of Code
Jacob Mitchell Springer
Bryn Reinstadler
Una-May O’Reilly
AAML
212
13
0
28 Sep 2020
TreeCaps: Tree-Based Capsule Networks for Source Code Processing
TreeCaps: Tree-Based Capsule Networks for Source Code ProcessingAAAI Conference on Artificial Intelligence (AAAI), 2020
Nghi D. Q. Bui
Yijun Yu
Lingxiao Jiang
3DPCGNN
351
43
0
05 Sep 2020
On the Generalizability of Neural Program Models with respect to
  Semantic-Preserving Program Transformations
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program TransformationsInformation and Software Technology (IST), 2020
Md Rafiqul Islam Rabin
Nghi D. Q. Bui
Ke Wang
Yijun Yu
Lingxiao Jiang
Mohammad Amin Alipour
445
110
0
31 Jul 2020
Contrastive Code Representation Learning
Contrastive Code Representation LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Paras Jain
Ajay Jain
Tianjun Zhang
Pieter Abbeel
Joseph E. Gonzalez
Ion Stoica
SSLDRL
445
174
0
09 Jul 2020
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
844
653
0
31 Oct 2017
1
Page 1 of 1