Creates a ground-truth dataset via LLM-assisted matching and benchmarks classical ML models against an Indel baseline for identifying duplicate developer identities in OSS commit data.
arXiv preprint arXiv:2507.14554 , year=
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Identifying unique developers in OSS projects: A family of models
Creates a ground-truth dataset via LLM-assisted matching and benchmarks classical ML models against an Indel baseline for identifying duplicate developer identities in OSS commit data.