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Arman Cohan is a Professor at Yale University, specializing in the fields of Machine Learning and Natural Language Processing (NLP). His research interests encompass language modeling, representation learning, and retrieval, with applications in specialized domains. He earned his Ph.D. in Computer Science from Georgetown University. His notable work includes contributions to various significant papers in the field including 'Question-Evidence Similarity Learning', 'Long-Context Question Answering', and 'PRIMERA: Pyramid-Based Masked Sentence Pre-training for Multi-Document Summarization'. Arman has received several awards for his academic excellence, including the Dr. Harold N. Glassman Distinguished Doctoral Dissertation Award in 2019 and the EMNLP Long Paper Award in 2017, showcasing his impact on the NLP research community.
Administered via the Graduate School of Arts and Sciences (GSAS). GRE General is optional for PhD.