{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T04:28:42Z","timestamp":1769747322946,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":54,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,6,23]]},"DOI":"10.1145\/3696630.3728552","type":"proceedings-article","created":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T19:09:27Z","timestamp":1753729767000},"page":"274-285","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["BitsAI-CR: Automated Code Review via LLM in Practice"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-8694-8530","authenticated-orcid":false,"given":"Tao","family":"Sun","sequence":"first","affiliation":[{"name":"Beihang University, Beijing, China"},{"name":"ByteDance, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0091-0296","authenticated-orcid":false,"given":"Jian","family":"Xu","sequence":"additional","affiliation":[{"name":"ByteDance, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9304-0084","authenticated-orcid":false,"given":"Yuanpeng","family":"Li","sequence":"additional","affiliation":[{"name":"ByteDance, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0468-8565","authenticated-orcid":false,"given":"Zhao","family":"Yan","sequence":"additional","affiliation":[{"name":"ByteDance, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0064-2906","authenticated-orcid":false,"given":"Ge","family":"Zhang","sequence":"additional","affiliation":[{"name":"ByteDance, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-9180-1199","authenticated-orcid":false,"given":"Lintao","family":"Xie","sequence":"additional","affiliation":[{"name":"ByteDance, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6855-3037","authenticated-orcid":false,"given":"Lu","family":"Geng","sequence":"additional","affiliation":[{"name":"ByteDance, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4027-0837","authenticated-orcid":false,"given":"Zheng","family":"Wang","sequence":"additional","affiliation":[{"name":"ByteDance, Singapore, Singapore"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8336-3438","authenticated-orcid":false,"given":"Yueyan","family":"Chen","sequence":"additional","affiliation":[{"name":"ByteDance, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-7113-4096","authenticated-orcid":false,"given":"Qin","family":"Lin","sequence":"additional","affiliation":[{"name":"ByteDance, Hangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-9021-1367","authenticated-orcid":false,"given":"Wenbo","family":"Duan","sequence":"additional","affiliation":[{"name":"ByteDance, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4545-7621","authenticated-orcid":false,"given":"Kaixin","family":"Sui","sequence":"additional","affiliation":[{"name":"ByteDance, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5185-4979","authenticated-orcid":false,"given":"Yuanshuo","family":"Zhu","sequence":"additional","affiliation":[{"name":"ByteDance, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2025,7,28]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Toufique Ahmed Premkumar Devanbu Christoph Treude and Michael Pradel. 2024. Can LLMs Replace Manual Annotation of Software Engineering Artifacts? arXiv.org. https:\/\/arxiv.org\/abs\/2408.05534v1"},{"key":"e_1_3_2_1_2_1","volume-title":"2013 35th International Conference on Software Engineering (ICSE). IEEE, 712\u2013721","author":"Bacchelli Alberto","year":"2013","unstructured":"Alberto Bacchelli and Christian Bird. 2013. Expectations, outcomes, and challenges of modern code review. In 2013 35th International Conference on Software Engineering (ICSE). IEEE, 712\u2013721."},{"key":"e_1_3_2_1_3_1","unstructured":"Linzheng Chai Shukai Liu Jian Yang Yuwei Yin Ke Jin Jiaheng Liu Tao Sun Ge Zhang Changyu Ren Hongcheng Guo et al. 2024. McEval: Massively Multilingual Code Evaluation. arXiv preprint arXiv:2406.07436 (2024)."},{"key":"e_1_3_2_1_4_1","volume-title":"2022 IEEE\/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)","author":"Chen Qiuyuan","year":"2022","unstructured":"Qiuyuan Chen, Dezhen Kong, Lingfeng Bao, Chenxing Sun, Xin Xia, and Shanping Li. 2022. Code Reviewer Recommendation in Tencent: Practice, Challenge, and Direction*. In 2022 IEEE\/ACM 44th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP) (Pittsburgh, PA, USA, 2022-05). IEEE, 115\u2013124. 10.1109\/ICSE-SEIP55303.2022.9794124"},{"key":"e_1_3_2_1_5_1","unstructured":"Lee Dong-Kyu. 2024. A GPT-based Code Review System for Programming Language Learning. arXiv.org. https:\/\/arxiv.org\/abs\/2407.04722v1"},{"key":"e_1_3_2_1_6_1","unstructured":"Abhimanyu Dubey Abhinav Jauhri Abhinav Pandey Abhishek Kadian Ahmad Al-Dahle Aiesha Letman Akhil Mathur Alan Schelten Amy Yang Angela Fan et al. 2024. The llama 3 herd of models. arXiv preprint arXiv:2407.21783 (2024)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/MS.2024.3416648","article-title":"Code Review Evolution","volume":"41","author":"Eldh Sigrid","year":"2024","unstructured":"Sigrid Eldh. 2024. Code Review Evolution. IEEE Software 41, 5 (2024), 4\u20138.","journal-title":"IEEE Software"},{"key":"e_1_3_2_1_8_1","volume-title":"A comparative study of industrial static analysis tools. Electronic notes in theoretical computer science 217","author":"Emanuelsson P\u00e4r","year":"2008","unstructured":"P\u00e4r Emanuelsson and Ulf Nilsson. 2008. A comparative study of industrial static analysis tools. Electronic notes in theoretical computer science 217 (2008), 5\u201321."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Lishui Fan Jiakun Liu Zhongxin Liu David Lo Xin Xia and Shanping Li. 2024. Exploring the Capabilities of LLMs for Code Change Related Tasks. arXiv.org. https:\/\/arxiv.org\/abs\/2407.02824v1","DOI":"10.1145\/3709358"},{"key":"e_1_3_2_1_10_1","first-page":"139","volume-title":"CodeBERT: A Pre-Trained Model for Programming and Natural Languages. In Findings of the Association for Computational Linguistics: EMNLP 2020","author":"Feng Zhangyin","year":"2020","unstructured":"Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, and Ming Zhou. 2020. CodeBERT: A Pre-Trained Model for Programming and Natural Languages. In Findings of the Association for Computational Linguistics: EMNLP 2020, Trevor Cohn, Yulan He, and Yang Liu (Eds.). Association for Computational Linguistics, Online, 1536\u20131547. 10.18653\/v1\/2020.findings-emnlp.139"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the IEEE\/ACM 46th International Conference on Software Engineering","author":"Guo Qi","year":"2024","unstructured":"Qi Guo, Junming Cao, Xiaofei Xie, Shangqing Liu, Xiaohong Li, Bihuan Chen, and Xin Peng. 2024. Exploring the Potential of ChatGPT in Automated Code Refinement: An Empirical Study. In Proceedings of the IEEE\/ACM 46th International Conference on Software Engineering (New York, NY, USA, 2024-02-06) (ICSE '24). Association for Computing Machinery, 1\u201313. 10.1145\/3597503.3623306"},{"key":"e_1_3_2_1_12_1","volume-title":"Sk Sabit Bin Mosaddek","author":"Haider Md Asif","year":"2024","unstructured":"Md Asif Haider, Ayesha Binte Mostofa, Sk Sabit Bin Mosaddek, Anindya Iqbal, and Toufique Ahmed. 2024. Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation. arXiv preprint arXiv:2411.10129 (2024)."},{"key":"e_1_3_2_1_13_1","volume-title":"Lora: Low-rank adaptation of large language models. arXiv preprint arXiv:2106.09685","author":"Hu Edward J","year":"2021","unstructured":"Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021. Lora: Low-rank adaptation of large language models. arXiv preprint arXiv:2106.09685 (2021)."},{"key":"e_1_3_2_1_14_1","volume-title":"Jiaran Hao, Liuyihan Song, Yang Xu, J Yang, JH Liu, Chenchen Zhang, Linzheng Chai, et al.","author":"Huang Siming","year":"2024","unstructured":"Siming Huang, Tianhao Cheng, Jason Klein Liu, Jiaran Hao, Liuyihan Song, Yang Xu, J Yang, JH Liu, Chenchen Zhang, Linzheng Chai, et al. 2024. Opencoder: The open cookbook for top-tier code large language models. arXiv preprint arXiv:2411.04905 (2024)."},{"key":"e_1_3_2_1_15_1","unstructured":"Binyuan Hui Jian Yang Zeyu Cui Jiaxi Yang Dayiheng Liu Lei Zhang Tianyu Liu Jiajun Zhang Bowen Yu Kai Dang et al. 2024. Qwen2. 5-Coder Technical Report. arXiv preprint arXiv:2409.12186 (2024)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","unstructured":"Tobias Jetzen Xavier Devroey Nicolas Matton and Beno\u00eet Vanderose. 2024. Towards Debiasing Code Review Support. arXiv:2407.01407 [cs] 10.48550\/arXiv.2407.01407","DOI":"10.48550\/arXiv.2407.01407"},{"key":"e_1_3_2_1_17_1","volume-title":"Proceedings of the 11th working conference on mining software repositories. 92\u2013101","author":"Kalliamvakou Eirini","year":"2014","unstructured":"Eirini Kalliamvakou, Georgios Gousios, Kelly Blincoe, Leif Singer, Daniel M German, and Daniela Damian. 2014. The promises and perils of mining github. In Proceedings of the 11th working conference on mining software repositories. 92\u2013101."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Charles Koutcheme Nicola Dainese Arto Hellas Sami Sarsa Juho Leinonen Syed Ashraf and Paul Denny. 2024. Evaluating Language Models for Generating and Judging Programming Feedback. arXiv.org. https:\/\/arxiv.org\/abs\/2407.04873v1","DOI":"10.1145\/3641554.3701791"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2208.08014"},{"key":"e_1_3_2_1_20_1","volume-title":"Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study","author":"Li Yichen","year":"2024","unstructured":"Yichen Li, Yintong Huo, Zhihan Jiang, Renyi Zhong, Pinjia He, Yuxin Su, Lionel C Briand, and Michael R Lyu. 2024. Exploring the Effectiveness of LLMs in Automated Logging Statement Generation: An Empirical Study. IEEE Transactions on Software Engineering (2024)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","unstructured":"Zhiyu Li Shuai Lu Daya Guo Nan Duan Shailesh Jannu Grant Jenks Deep Majumder Jared Green Alexey Svyatkovskiy Shengyu Fu and Neel Sundaresan. 2022. Automating Code Review Activities by Large-Scale Pre-training. arXiv:2203.09095 [cs] 10.48550\/arXiv.2203.09095","DOI":"10.48550\/arXiv.2203.09095"},{"key":"e_1_3_2_1_22_1","volume-title":"Large language model-based agents for software engineering: A survey. arXiv preprint arXiv:2409.02977","author":"Liu Junwei","year":"2024","unstructured":"Junwei Liu, Kaixin Wang, Yixuan Chen, Xin Peng, Zhenpeng Chen, Lingming Zhang, and Yiling Lou. 2024. Large language model-based agents for software engineering: A survey. arXiv preprint arXiv:2409.02977 (2024)."},{"key":"e_1_3_2_1_23_1","volume-title":"Mdeval: Massively multilingual code debugging. arXiv preprint arXiv:2411.02310","author":"Liu Shukai","year":"2024","unstructured":"Shukai Liu, Linzheng Chai, Jian Yang, Jiajun Shi, He Zhu, Liran Wang, Ke Jin, Wei Zhang, Hualei Zhu, Shuyue Guo, et al. 2024. Mdeval: Massively multilingual code debugging. arXiv preprint arXiv:2411.02310 (2024)."},{"key":"e_1_3_2_1_24_1","unstructured":"Siyao Liu He Zhu Jerry Liu Shulin Xin Aoyan Li Rui Long Li Chen Jack Yang Jinxiang Xia ZY Peng et al. 2024. FullStack Bench: Evaluating LLMs as Full Stack Coder. arXiv preprint arXiv:2412.00535 (2024)."},{"key":"e_1_3_2_1_25_1","unstructured":"Junyi Lu Lei Yu Xiaojia Li Li Yang and Chun Zuo. 2023. LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning. arXiv.org. https:\/\/arxiv.org\/abs\/2308.11148v2"},{"key":"e_1_3_2_1_26_1","first-page":"e2463","article-title":"Automated evaluation of comments to aid software maintenance","volume":"34","author":"Majumdar Srijoni","year":"2022","unstructured":"Srijoni Majumdar, Ayush Bansal, Partha Pratim Das, Paul D Clough, Kausik Datta, and Soumya Kanti Ghosh. 2022. Automated evaluation of comments to aid software maintenance. Journal of Software: Evolution and Process 34, 7 (2022), e2463.","journal-title":"Journal of Software: Evolution and Process"},{"key":"e_1_3_2_1_27_1","volume-title":"Juan Felipe Ceron Uribe, Evgenia Nitishinskaya, Maja Trebacz, and Jan Leike.","author":"McAleese Nat","year":"2024","unstructured":"Nat McAleese, Rai Michael Pokorny, Juan Felipe Ceron Uribe, Evgenia Nitishinskaya, Maja Trebacz, and Jan Leike. 2024. LLM Critics Help Catch LLM Bugs. arXiv.org. https:\/\/arxiv.org\/abs\/2407.00215v1"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","first-page":"2146","DOI":"10.1007\/s10664-015-9381-9","article-title":"An empirical study of the impact of modern code review practices on software quality","volume":"21","author":"McIntosh Shane","year":"2016","unstructured":"Shane McIntosh, Yasutaka Kamei, Bram Adams, and Ahmed E Hassan. 2016. An empirical study of the impact of modern code review practices on software quality. Empirical Software Engineering 21 (2016), 2146\u20132189.","journal-title":"Empirical Software Engineering"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","unstructured":"Atharva Naik Marcus Alenius Daniel Fried and Carolyn Rose. 2024. CRScore: Grounding Automated Evaluation of Code Review Comments in Code Claims and Smells. arXiv:2409.19801 [cs] 10.48550\/arXiv.2409.19801","DOI":"10.48550\/arXiv.2409.19801"},{"key":"e_1_3_2_1_30_1","unstructured":"OpenAI. 2023. GPT-4 Technical Report. arXiv preprint arXiv:2303.08774 (2023). https:\/\/arxiv.org\/abs\/2303.08774"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Chanathip Pornprasit and Chakkrit Tantithamthavorn. 2024. Fine-Tuning and Prompt Engineering for Large Language Models-based Code Review Automation. arXiv.org. https:\/\/arxiv.org\/abs\/2402.00905v4","DOI":"10.1016\/j.infsof.2024.107523"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1145\/2854146","article-title":"Why Google stores billions of lines of code in a single repository","volume":"59","author":"Potvin Rachel","year":"2016","unstructured":"Rachel Potvin and Josh Levenberg. 2016. Why Google stores billions of lines of code in a single repository. Commun. ACM 59, 7 (2016), 78\u201387.","journal-title":"Commun. ACM"},{"key":"e_1_3_2_1_33_1","volume-title":"Muhammad Waseem, Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen, Kari Syst\u00e4, and Pekka Abrahamsson.","author":"Rasheed Zeeshan","year":"2024","unstructured":"Zeeshan Rasheed, Malik Abdul Sami, Muhammad Waseem, Kai-Kristian Kemell, Xiaofeng Wang, Anh Nguyen, Kari Syst\u00e4, and Pekka Abrahamsson. 2024. AI-powered Code Review with LLMs: Early Results. arXiv.org. https:\/\/arxiv.org\/abs\/2404.18496v1"},{"key":"e_1_3_2_1_34_1","volume-title":"Proceedings of the 40th international conference on software engineering: Software engineering in practice. 181\u2013190","author":"Sadowski Caitlin","year":"2018","unstructured":"Caitlin Sadowski, Emma S\u00f6derberg, Luke Church, Michal Sipko, and Alberto Bacchelli. 2018. Modern code review: a case study at google. In Proceedings of the 40th international conference on software engineering: Software engineering in practice. 181\u2013190."},{"key":"e_1_3_2_1_35_1","volume-title":"2017 IEEE symposium on visual languages and human-centric computing (VL\/HCC). IEEE, 101\u2013105","author":"Singh Devarshi","year":"2017","unstructured":"Devarshi Singh, Varun Ramachandra Sekar, Kathryn T Stolee, and Brittany Johnson. 2017. Evaluating how static analysis tools can reduce code review effort. In 2017 IEEE symposium on visual languages and human-centric computing (VL\/HCC). IEEE, 101\u2013105."},{"key":"e_1_3_2_1_36_1","volume-title":"Unicoder: Scaling code large language model via universal code. arXiv preprint arXiv:2406.16441","author":"Sun Tao","year":"2024","unstructured":"Tao Sun, Linzheng Chai, Jian Yang, Yuwei Yin, Hongcheng Guo, Jiaheng Liu, Bing Wang, Liqun Yang, and Zhoujun Li. 2024. Unicoder: Scaling code large language model via universal code. arXiv preprint arXiv:2406.16441 (2024)."},{"key":"e_1_3_2_1_37_1","unstructured":"Tao Sun Yang Yang Xianfu Cheng Jian Yang Yintong Huo Zhuoren Ye Rubing Yang Xiangyuan Guan Wei Zhang Hangyuan Ji et al. [n. d.]. RepoFixEval: A Repository-Level Program Repair Benchmark From Issue Discovering to Bug Fixing. ([n. d.])."},{"key":"e_1_3_2_1_38_1","volume-title":"Bissyande","author":"Tang Xunzhu","year":"2024","unstructured":"Xunzhu Tang, Kisub Kim, Yewei Song, Cedric Lothritz, Bei Li, Saad Ezzini, Haoye Tian, Jacques Klein, and Tegawende F. Bissyande. 2024. CodeAgent: Autonomous Communicative Agents for Code Review. arXiv.org. https:\/\/arxiv.org\/abs\/2402.02172v5"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","unstructured":"Rosalia Tufano Simone Masiero Antonio Mastropaolo Luca Pascarella Denys Poshyvanyk and Gabriele Bavota. 2022. Using Pre-Trained Models to Boost Code Review Automation. arXiv:2201.06850 [cs] 10.48550\/arXiv.2201.06850","DOI":"10.48550\/arXiv.2201.06850"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","unstructured":"Manushree Vijayvergiya Ma\u0142gorzata Salawa Ivan Budiseli\u0107 Dan Zheng Pascal Lamblin Marko Ivankovi\u0107 Juanjo Carin Mateusz Lewko Jovan Andonov Goran Petrovi\u0107 Daniel Tarlow Petros Maniatis and Ren\u00e9 Just. 2024. AI-Assisted Assessment of Coding Practices in Modern Code Review. arXiv.org. 10.1145\/3664646.3665664","DOI":"10.1145\/3664646.3665664"},{"key":"e_1_3_2_1_41_1","volume-title":"Automatically generating UI code from screenshot: A divide-and-conquer-based approach. arXiv preprint arXiv:2406.16386","author":"Wan Yuxuan","year":"2024","unstructured":"Yuxuan Wan, Chaozheng Wang, Yi Dong, Wenxuan Wang, Shuqing Li, Yintong Huo, and Michael R Lyu. 2024. Automatically generating UI code from screenshot: A divide-and-conquer-based approach. arXiv preprint arXiv:2406.16386 (2024)."},{"key":"e_1_3_2_1_42_1","volume-title":"Proceedings of the 39th IEEE\/ACM International Conference on Automated Software Engineering. 281\u2013293","author":"Wang Chaozheng","year":"2024","unstructured":"Chaozheng Wang, Shuzheng Gao, Cuiyun Gao, Wenxuan Wang, Chun Yong Chong, Shan Gao, and Michael R Lyu. 2024. A Systematic Evaluation of Large Code Models in API Suggestion: When, Which, and How. In Proceedings of the 39th IEEE\/ACM International Conference on Automated Software Engineering. 281\u2013293."},{"key":"e_1_3_2_1_43_1","volume-title":"Exploring Multi-Lingual Bias of Large Code Models in Code Generation. arXiv preprint arXiv:2404.19368","author":"Wang Chaozheng","year":"2024","unstructured":"Chaozheng Wang, Zongjie Li, Cuiyun Gao, Wenxuan Wang, Ting Peng, Hailiang Huang, Yuetang Deng, Shuai Wang, and Michael R Lyu. 2024. Exploring Multi-Lingual Bias of Large Code Models in Code Generation. arXiv preprint arXiv:2404.19368 (2024)."},{"key":"e_1_3_2_1_44_1","volume-title":"Denny Zhou, et al.","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems 35 (2022), 24824\u201324837."},{"key":"e_1_3_2_1_45_1","volume-title":"Interaction2Code: How Far Are We From Automatic Interactive Webpage Generation? arXiv preprint arXiv:2411.03292","author":"Xiao Jingyu","year":"2024","unstructured":"Jingyu Xiao, Yuxuan Wan, Yintong Huo, Zhiyao Xu, and Michael R Lyu. 2024. Interaction2Code: How Far Are We From Automatic Interactive Webpage Generation? arXiv preprint arXiv:2411.03292 (2024)."},{"key":"e_1_3_2_1_46_1","volume-title":"Evaluating and Aligning CodeLLMs on Human Preference. arXiv preprint arXiv:2412.05210","author":"Yang Jian","year":"2024","unstructured":"Jian Yang, Jiaxi Yang, Ke Jin, Yibo Miao, Lei Zhang, Liqun Yang, Zeyu Cui, Yichang Zhang, Binyuan Hui, and Junyang Lin. 2024. Evaluating and Aligning CodeLLMs on Human Preference. arXiv preprint arXiv:2412.05210 (2024)."},{"key":"e_1_3_2_1_47_1","volume-title":"Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (San Francisco CA USA","author":"Yang Lanxin","year":"2023","unstructured":"Lanxin Yang, Jinwei Xu, Yifan Zhang, He Zhang, and Alberto Bacchelli. 2023. EvaCRC: Evaluating Code Review Comments. In Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (San Francisco CA USA, 2023-11-30). ACM, 275\u2013287. 10.1145\/3611643.3616245"},{"key":"e_1_3_2_1_48_1","unstructured":"Zezhou Yang Cuiyun Gao Zhaoqiang Guo Zhenhao Li Kui Liu Xin Xia and Yuming Zhou. 2024. A Survey on Modern Code Review: Progresses Challenges and Opportunities. arXiv.org. https:\/\/arxiv.org\/abs\/2405.18216v1"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.3390\/s23052551"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","unstructured":"Yongda Yu Guoping Rong Haifeng Shen He Zhang Dong Shao Min Wang Zhao Wei Yong Xu and Juhong Wang. 2024. Fine-Tuning Large Language Models to Improve Accuracy and Comprehensibility of Automated Code Review. (2024) 3695993. 10.1145\/3695993","DOI":"10.1145\/3695993"},{"key":"e_1_3_2_1_51_1","volume-title":"Unifying the perspectives of nlp and software engineering: A survey on language models for code. arXiv preprint arXiv:2311.07989","author":"Zhang Ziyin","year":"2023","unstructured":"Ziyin Zhang, Chaoyu Chen, Bingchang Liu, Cong Liao, Zi Gong, Hang Yu, Jianguo Li, and Rui Wang. 2023. Unifying the perspectives of nlp and software engineering: A survey on language models for code. arXiv preprint arXiv:2311.07989 (2023)."},{"key":"e_1_3_2_1_52_1","first-page":"46595","article-title":"Judging llm-as-a-judge with mt-bench and chatbot arena","volume":"36","author":"Zheng Lianmin","year":"2023","unstructured":"Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al. 2023. Judging llm-as-a-judge with mt-bench and chatbot arena. Advances in Neural Information Processing Systems 36 (2023), 46595\u201346623.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_53_1","volume-title":"Jie Fu, Wenhu Chen, and Xiang Yue.","author":"Zheng Tianyu","year":"2024","unstructured":"Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, and Xiang Yue. 2024. Opencodeinterpreter: Integrating code generation with execution and refinement. arXiv preprint arXiv:2402.14658 (2024)."},{"key":"e_1_3_2_1_54_1","unstructured":"Qihao Zhu Daya Guo Zhihong Shao Dejian Yang Peiyi Wang Runxin Xu Y Wu Yukun Li Huazuo Gao Shirong Ma et al. 2024. DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence. arXiv preprint arXiv:2406.11931 (2024)."}],"event":{"name":"FSE Companion '25: 33rd ACM International Conference on the Foundations of Software Engineering","location":"Clarion Hotel Trondheim Trondheim Norway","acronym":"FSE Companion '25","sponsor":["SIGSOFT ACM Special Interest Group on Software Engineering"]},"container-title":["Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3696630.3728552","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,28]],"date-time":"2025-07-28T19:10:35Z","timestamp":1753729835000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3696630.3728552"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6,23]]},"references-count":54,"alternative-id":["10.1145\/3696630.3728552","10.1145\/3696630"],"URL":"https:\/\/doi.org\/10.1145\/3696630.3728552","relation":{},"subject":[],"published":{"date-parts":[[2025,6,23]]},"assertion":[{"value":"2025-07-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}