Towards Learning (Dis)-Similarity of Source Code from Program Contrasts

8 October 2021

Papers citing "Towards Learning (Dis)-Similarity of Source Code from Program Contrasts"

21 / 21 papers shown

Title
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We? Taiming Wang Yuxia Zhang Lin Jiang Yi Tang Guangjie Li Hui Liu 83 1 0 22 Jan 2025
ProCQA: A Large-scale Community-based Programming Question Answering Dataset for Code Search Zehan Li Jianfei Zhang Chuantao Yin Y. Ouyang Wenge Rong 29 1 0 25 Mar 2024
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 27 12 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 27 20 0 30 Dec 2023
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChain Marcus J. Min Yangruibo Ding Luca Buratti Saurabh Pujar Gail E. Kaiser Suman Jana Baishakhi Ray LRM HILM 25 18 0 21 Oct 2023
Towards Causal Deep Learning for Vulnerability Detection Md. Mahbubur Rahman Ira Ceka Chengzhi Mao Saikat Chakraborty Baishakhi Ray Wei Le 18 10 0 12 Oct 2023
Code Representation Pre-training with Complements from Program Executions Jiabo Huang Jianyu Zhao Yuyang Rong Yiwen Guo Yifeng He Hao Chen 21 4 0 04 Sep 2023
GrACE: Generation using Associated Code Edits Priyanshu Gupta Avishree Khare Yasharth Bajpai Saikat Chakraborty Sumit Gulwani Aditya Kanade Arjun Radhakrishna Gustavo Soares Ashish Tiwari 16 16 0 23 May 2023
The "code'' of Ethics:A Holistic Audit of AI Code Generators Wanlun Ma Yiliao Song Minhui Xue Sheng Wen Yang Xiang 22 4 0 22 May 2023
Neuro-symbolic Zero-Shot Code Cloning with Cross-Language Intermediate Representation Krishnam Hasija Shrishti Pradhan Manasi S. Patwardhan Raveendra Kumar Medicherla L. Vig Ravindra Naik 13 2 0 26 Apr 2023
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond Ensheng Shi Yanlin Wang Hongyu Zhang Lun Du Shi Han Dongmei Zhang Hongbin Sun 33 42 0 11 Apr 2023
Better Language Models of Code through Self-Improvement H. To Nghi D. Q. Bui Jingnan Guo T. Nguyen SyDa 34 15 0 02 Apr 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 34 3 0 08 Mar 2023
CoCoMIC: Code Completion By Jointly Modeling In-file and Cross-file Context Yangruibo Ding Zijian Wang Wasi Uddin Ahmad M. K. Ramanathan Ramesh Nallapati Parminder Bhatia Dan Roth Bing Xiang 16 68 0 20 Dec 2022
An Empirical Study of Deep Learning Models for Vulnerability Detection Benjamin Steenhoek Md. Mahbubur Rahman Richard Jiles Wei Le ELM AAML 18 79 0 15 Dec 2022
Soft-Labeled Contrastive Pre-training for Function-level Code Representation Xiaonan Li Daya Guo Yeyun Gong Yun Lin Yelong Shen Xipeng Qiu Daxin Jiang Weizhu Chen Nan Duan 21 17 0 18 Oct 2022
NatGen: Generative pre-training by "Naturalizing" source code Saikat Chakraborty Toufique Ahmed Yangruibo Ding Prem Devanbu Baishakhi Ray AI4CE 50 116 0 15 Jun 2022
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages Wasi Uddin Ahmad Saikat Chakraborty Baishakhi Ray Kai-Wei Chang 38 27 0 23 May 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 235 1,489 0 02 Sep 2021
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 1,105 0 09 Feb 2021
Patching as Translation: the Data and the Metaphor Yangruibo Ding Baishakhi Ray Prem Devanbu Vincent Hellendoorn 116 64 0 24 Aug 2020