49 citations · 75 across the 4 of their papers we have counts for
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cs.LG2024
Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method
Teodora Baluta, Pascal Lamblin, Daniel Tarlow +2
Machine unlearning aims to solve the problem of removing the influence of selected training examples from a learned model. Despite the increasing attention to this problem, it rema…
cs.SE2024★ 26 cited
AI-Assisted Assessment of Coding Practices in Modern Code Review
Manushree Vijayvergiya, Małgorzata Salawa, Ivan Budiselić +10
Modern code review is a process in which an incremental code contribution made by a code author is reviewed by one or more peers before it is committed to the version control syste…