Anat Kleiman

Kempner Graduate Fellow
PhD Student in Computer Science

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Anat Kleiman’s main research focus is understanding the generalizability of large language models. Specifically, Kleiman is interested in the ability of LLMs pre-trained on a given domain to be fine-tuned to new ones. Furthermore, she is also interested in analyzing and mitigating potential forgetting of knowledge in continual learning settings.

Research Focus

Kleiman’s current research focuses on machine learning and LLMs.