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Andrei Ioan Muresanu

2 accepted papers

2025

Fast Exact Unlearning for In-Context Learning Data for LLMs

ICML 2025poster

Modern machine learning models are expensive to train, and there is a growing concern about the challenge of retroactively removing specific training data. Achieving exact unlearning in deep learning pipelines—producing models as if certain data had never been included in training—remains an open pr…

Cited by 0SourcePDFScholar
2023

Large Language Models are Human-Level Prompt Engineers

ICLR 2023poster

By conditioning on natural language instructions, large language models (LLMs) have displayed impressive capabilities as general-purpose computers. However, task performance depends significantly on the quality of the prompt used to steer the model, and most effective prompts have been handcrafted b…