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Large Language Models (LLMs) have drawn widespread attention and research due to their astounding performance in text generation and reasoning tasks.
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Pan R, Ibrahimzada A, Krishna R, Sankar D, Wassi L, Merler M, Sobolev B, Pavuluri R, Sinha S, Jabbarvand R (2024) Lost in translation: A study of bugs introduced by large language models while translating code. In: 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE)
2024
Closest in time.
Xu J, Cui Z, Zhao Y, Zhang X, He S, He P, Li L, Kang Y, Lin Q, Dang Y, Rajmohan S, Zhang D (2024a) Unilog: Automatic logging via llm and in-context learning. In: 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE)
2024
Closest in time.
Xu J, Yang R, Huo Y, Zhang C, He P (2024b) Divlog: Log parsing with prompt enhanced in-context learning. In: 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE), IEEE Computer Society
2024
Closest in time.
Zhang Y, Zhang W, Ran D, Zhu Q, Dou C, Hao D, Xie T, Zhang L (2024) Learning-based widget matching for migrating gui test cases. In: Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, ACM, ICSE ’24, DOI 10.1145/3597503.3623322
2024
Closest in time.