Marius Mosbach
@mariusmosbach.bsky.social
#NLP Postdoc at Mila - Quebec AI Institute & McGill University
mariusmosbach.com
mariusmosbach.com
Cool work! You might be interested in our recent work on another problem of existing unlearning methods: arxiv.org/abs/2504.05058
Not All Data Are Unlearned Equally
Machine unlearning is concerned with the task of removing knowledge learned from particular data points from a trained model. In the context of large language models (LLMs), unlearning has recently re...
arxiv.org
June 21, 2025 at 3:37 PM
Cool work! You might be interested in our recent work on another problem of existing unlearning methods: arxiv.org/abs/2504.05058
Congrats Sarah!! They are lucky to have you 💪
June 13, 2025 at 9:10 PM
Congrats Sarah!! They are lucky to have you 💪
Very interesting work! We also compared ICL and finetuning a while ago. You might find it relevant: aclanthology.org/2023.finding...
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, Yanai Elazar. Findings of the Association for Computational Linguistics: ACL 2023. 2023.
aclanthology.org
May 2, 2025 at 8:47 PM
Very interesting work! We also compared ICL and finetuning a while ago. You might find it relevant: aclanthology.org/2023.finding...