Suchergebnisse - "Language Models of Code"

Leveraging Large Language Model for Automatic Patch Correctness Assessment von Zhou, Xin, Xu, Bowen, Kim, Kisub, Han, DongGyun, Nguyen, Hung Huu, Le-Cong, Thanh, He, Junda, Le, Bach, Lo, David

“… Automated Program Repair (APR) techniques have shown more and more promising results in fixing real-world bugs. Despite the effectiveness, APR techniques still …”
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An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair von 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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Greening Large Language Models of Code von Shi, Jieke, Yang, Zhou, Kang, Hong Jin, Xu, Bowen, He, Junda, Lo, David

“… Large language models of code have shown remarkable effectiveness across various software engineering tasks. Despite the availability of many cloud services …”
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Exploring the Potential of Pre-Trained Language Models of Code for Automated Program Repair von Hao, Sichong, Shi, Xianjun, Liu, Hongwei

“… In the realm of software development, automated program repair (APR) emerges as a pivotal technique, autonomously debugging faulty code to boost productivity …”
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Naturalness of Attention: Revisiting Attention in Code Language Models von Saad, Mootez, Sharma, Tushar

“… Language models for code such as CodeBERT offer the capability to learn advanced source code representation, but their opacity poses barriers to understanding …”
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Enhancing Code Language Models for Program Repair by Curricular Fine-tuning Framework von Hao, Sichong, Shi, Xianjun, Liu, Hongwei, Shu, Yanjun

“… Automated program repair (APR) is a key technique for enhancing software maintenance productivity by fixing buggy code automatically. Recently, large code …”
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Can Identifier Splitting Improve Open-Vocabulary Language Model of Code? von Shi, Jieke, Yang, Zhou, He, Junda, Xu, Bowen, Lo, David

“… Statistical language models on source code have successfully assisted software engineering tasks. However, developers can create or pick arbitrary identifiers …”
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Impact of Large Language Models of Code on Fault Localization von Ji, Suhwan, Lee, Sanghwa, Lee, Changsup, Han, Yo-Sub, Im, Hyeonseung

“… Identifying the point of error is imperative in software debugging. Traditional fault localization (FL) techniques rely on executing the program and using the …”
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