Regular biography
Arman Cohan is an Assistant Professor in the Department of Computer Science at Yale University. His research focuses on areas within computer science, though specific details are not provided. He is affiliated with the Yale University Computer Science department and contributes to academic study through his role. His profile page provides further information about his work and contributions.
Scholar-generated biography
Arman Cohan is a researcher at Yale University and the Allen Institute for AI, specializing in Natural Language Processing, Machine Learning, and Artificial Intelligence. His work focuses on advancing language models for scientific and medical text, including the development of SciBERT and Longformer. He has contributed to document-level representation learning, abstractive summarization, and citation-aware models. His research also explores the application of large language models in medical reasoning and mental health analysis through datasets like SMHD. Cohan's work emphasizes the importance of contextualized embeddings and robust evaluation frameworks for AI systems.