
About
Arman Cohan is an Assistant Professor in the Computer Science Department at Yale University, where he leads the Natural Language Processing lab. Previously, he was a Research Scientist at the Allen Institute for AI (AI2) after earning his PhD from Georgetown University.
His research spans natural language processing and machine learning, with current focus on:
- Language modeling architectures and scaling approaches
- Efficient fine-tuning and adaptation methods
- Retrieval-augmented generation systems
- Applications in scientific domains
He teaches courses on natural language processing and AI foundation models, covering topics from transformer architectures to safety considerations in large language models.
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