Leveraging gpt-like llms to automate issue labeling
Issue labeling is a crucial task for the effective management of software projects. To date,
several approaches have been put forth for the automatic assignment of labels to issue
reports. In particular, supervised approaches based on the fine-tuning of BERT-like
language models have been proposed, achieving state-of-the-art performance. More
recently, decoder-only models such as GPT have become prominent in SE research due to
their surprising capabilities to achieve state-of-the-art performance even for tasks they have …
several approaches have been put forth for the automatic assignment of labels to issue
reports. In particular, supervised approaches based on the fine-tuning of BERT-like
language models have been proposed, achieving state-of-the-art performance. More
recently, decoder-only models such as GPT have become prominent in SE research due to
their surprising capabilities to achieve state-of-the-art performance even for tasks they have …
[CITATION][C] Leveraging gpt-like llms to automate issue labeling. In 2024 IEEE/ACM 21st International Conference on Mining Software Repositories (MSR)
G Colavito, F Lanubile, N Novielli, L Quaranta - 2024 - IEEE
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