2 papers
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
AI-Assisted Assessment of Coding Practices in Modern Code Review
Manushree Vijayvergiya, MaÅgorzata Salawa, Ivan BudiseliÄ +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…