Search Results - unixcoder*

An Empirical Study of Parameter-Efficient Fine-Tuning in Code Change Learning and Beyond by Liu, Shuo, Keung, Jacky, Jin, Zhi, Yang, Zhen, Liu, Fang, Zhang, Hao

“…Compared to Full-Model Fine-Tuning (FMFT), Parameter-Efficient Fine-Tuning (PEFT) has demonstrated superior efficacy and efficiency in several code…”
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Language Models for Code Completion: A Practical Evaluation by Izadi, Maliheh, Katzy, Jonathan, van Dam, Tim, Otten, Marc, Popescu, Razvan Mihai, van Deursen, Arie

“…Transformer-based language models for automatic code completion have shown great promise so far, yet the evaluation of these models rarely uses real data. This…”
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Evaluating uniXcoder Embeddings for Automated Grading: A Study Across Varied Code Perspectives by Narmada, Nakka, Pati, Peeta Basa

“… In this study, we investigate the potential of uniXcoder embeddings of C language codes. A comparative analysis across four scenarios…”
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UniXcoder: Unified Cross-Modal Pre-training for Code Representation by Guo, Daya, Lu, Shuai, Duan, Nan, Wang, Yanlin, Zhou, Ming, Yin, Jian

“… In this paper, we present UniXcoder, a unified cross-modal pre-trained model for programming language…”
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Investigating the Performance of Language Models for Completing Code in Functional Programming Languages: A Haskell Case Study by Van Dam, Tim, Van der Heijden, Frank, De Bekker, Philippe, Nieuwschepen, Berend, Otten, Marc, Izadi, Maliheh

“… language models for code, CodeGPT and UniXcoder, on the functional programming language Haskell…”
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Advanced Deep Learning Model for Improving Student Evaluation in Programming Education by Chachoui, Yasmine, Azizi, Nabiha

“…This paper investigates the potential applications of the pre-trained language model UniXcoder in programming education, with a focus on the utility of its embeddings in evaluating students' solutions…”
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EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code by Ridoy, Shahriyar Zaman, Shazzad Hossain Shaon, Md, Cuzzocrea, Alfredo, Akter, Mst Shapna

“…)-CodeBERT, GraphCodeBERT, and UniXcoder-to improve vulnerability detection in source code…”
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Automatic Commit Message Generation: A Critical Review and Directions for Future Work by Zhang, Yuxia, Qiu, Zhiqing, Stol, Klaas-Jan, Zhu, Wenhui, Zhu, Jiaxin, Tian, Yingchen, Liu, Hui

“…Commit messages are critical for code comprehension and software maintenance. Writing a high-quality message requires skill and effort. To support developers…”
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An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair by Huang, Kai, Meng, Xiangxin, Zhang, Jian, Liu, Yang, Wang, Wenjie, Li, Shuhao, Zhang, Yuqing

“…The advent of large language models (LLMs) has opened up new opportunities for automated program repair (APR). In particular, some recent studies have explored…”
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Esale: Enhancing Code-Summary Alignment Learning for Source Code Summarization by Fang, Chunrong, Sun, Weisong, Chen, Yuchen, Chen, Xiao, Wei, Zhao, Zhang, Quanjun, You, Yudu, Luo, Bin, Liu, Yang, Chen, Zhenyu

“…, CodeBERT and UniXcoder) are equipped with encoders capable of producing general context vectors and have achieved substantial improvements on the code summarization task…”
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Comprehensive Fine-Tuning Large Language Models of Code for Automated Program Repair by Huang, Kai, Zhang, Jian, Bao, Xinlei, Wang, Xu, Liu, Yang

“…Automated program repair (APR) research has entered the era of large language models (LLM), and researchers have conducted several empirical studies to explore…”
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Gamma: Revisiting Template-Based Automated Program Repair Via Mask Prediction by Zhang, Quanjun, Fang, Chunrong, Zhang, Tongke, Yu, Bowen, Sun, Weisong, Chen, Zhenyu

“…Automated program repair (APR) aims to fix software bugs without manual debugging efforts and plays a crucial role in software development and maintenance…”
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CoCoSoDa: Effective Contrastive Learning for Code Search by Shi, Ensheng, Wang, Yanlin, Gu, Wenchao, Du, Lun, Zhang, Hongyu, Han, Shi, Zhang, Dongmei, Sun, Hongbin

“…Code search aims to retrieve semantically relevant code snippets for a given natural language query. Recently, many approaches employing contrastive learning…”
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On Inter-Dataset Code Duplication and Data Leakage in Large Language Models by Lopez, Jose Antonio Hernandez, Chen, Boqi, Saad, Mootez, Sharma, Tushar, Varro, Daniel

“…Motivation. Large language models ( LLM s) have exhibited remarkable proficiency in diverse software engineering ( SE ) tasks, such as code summarization, code…”
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LTM: Scalable and Black-Box Similarity-Based Test Suite Minimization Based on Language Models by Pan, Rongqi, Ghaleb, Taher A., Briand, Lionel C.

“…Test suites tend to grow when software evolves, making it often infeasible to execute all test cases with the allocated testing budgets, especially for large…”
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One Adapter for All Programming Languages? Adapter Tuning for Code Search and Summarization by Wang, Deze, Chen, Boxing, Li, Shanshan, Luo, Wei, Peng, Shaoliang, Dong, Wei, Liao, Xiangke

“… However, we find that multilingual fine-tuning leads to performance degradation on recent models UniXcoder and CodeT5…”
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On Representation Learning-based Methods for Effective, Efficient, and Scalable Code Retrieval by França, Celso, Lima, Rennan C., Andrade, Claudio, Cunha, Washington, de Melo, Pedro O.S. Vaz, Ribeiro-Neto, Berthier, Rocha, Leonardo, Santos, Rodrygo L.T., Pagano, Adriana Silvina, Gonçalves, Marcos André

“…Code retrieval consists of finding relevant code snippets regarding a programmer’s query — an increasingly important task due to software ubiquity. Although…”
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MDVul: A semantic-based complex dependency code vulnerability detection using fusion path by Zhequ, Sun, Wang, Siyu, Lu, Ning, Shi, Wenbo, Liu, Zhiquan

“… Moreover, we use UniXcoder to embed code representations and further design attention-based bidirectional gated recurrent to improve…”
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Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases by Tang, Ze, Ge, Jidong, Liu, Shangqing, Zhu, Tingwei, Xu, Tongtong, Huang, Liguo, Luo, Bin

“…Large Language Models (LLMs) have demonstrated remarkable performance in code completion. However, due to the lack of domain-specific knowledge, they may not…”
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Esale: E nhancing Code- S ummary A lignment Le arning for Source Code Summarization by Fang, Chunrong, Sun, Weisong, Chen, Yuchen, Chen, Xiao, Zhao, Wei, Zhang, Quanjun, You, Yudu, Luo, Bin, Liu, Yang, Chen, Zhenyu

“…, CodeBERT and UniXcoder) are equipped with encoders capable of producing general context vectors and have achieved substantial improvements on the code summarization task…”
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