Understanding Neural Code Intelligence Through Program Simplification

Understanding Neural Code Intelligence Through Program Simplification

7 June 2021

Md Rafiqul Islam Rabin

Vincent J. Hellendoorn

Mohammad Amin Alipour

Papers citing "Understanding Neural Code Intelligence Through Program Simplification"

10 / 10 papers shown

Title
Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems Sicong Cao Xiaobing Sun Xiaoxue Wu David Lo Lili Bo Bin Li Wei Liu AAML 32 12 0 26 Jan 2024
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research Sicong Cao Xiaobing Sun Ratnadira Widyasari David Lo Xiaoxue Wu ... Jiale Zhang Bin Li Wei Liu Di Wu Yixin Chen 31 6 0 26 Jan 2024
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 30 20 0 30 Dec 2023
Redundancy and Concept Analysis for Code-trained Language Models Arushi Sharma Zefu Hu Christopher Quinn Ali Jannesari 70 1 0 01 May 2023
A Study of Variable-Role-based Feature Enrichment in Neural Models of Code Aftab Hussain Md Rafiqul Islam Rabin Bowen Xu David Lo Mohammad Amin Alipour 36 3 0 08 Mar 2023
Data-Driven AI Model Signal-Awareness Enhancement and Introspection Sahil Suneja Yufan Zhuang Yunhui Zheng Jim Laredo Alessandro Morari SyDa 24 1 0 10 Nov 2021
Counterfactual Explanations for Models of Code Jürgen Cito Işıl Dillig V. Murali S. Chandra AAML LRM 26 47 0 10 Nov 2021
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code Md Rafiqul Islam Rabin Mohammad Amin Alipour 27 5 0 01 Nov 2021
Probing Model Signal-Awareness via Prediction-Preserving Input Minimization Sahil Suneja Yunhui Zheng Yufan Zhuang Jim Laredo Alessandro Morari AAML 24 32 0 25 Nov 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 35 97 0 07 Feb 2020