Arman Cohan

Assistant Professor
CS Department
Yale University

Research Scientist
Allen Institute for AI (AI2)

Arman Cohan

I am an Assistant Professor in the Computer Science Department at Yale University.
I am also a Research Scientist at Allen Institute for AI (AI2).

At Yale, I lead the Natural Language Processing lab. My research spans various problems at the intersection of NLP and Machine Learning, including language modeling, representation learning, retrieval, and applications in specialized domains.

🔍 Current Research Focus

The following is a list of some of the problems that we are currently working on (in no particular order). For more details please visit the lab website.

Understanding generalization capabilities of LLMs
Evaluation and science of language models
Language modeling for complex document-level tasks and long sequences
Multi-document and extreme multi-document language processing
Robust methods for generation and summarization
Scientific and scholarly document processing

Teaching

[Spring 2024] - CPSC 477/577: Natural Language Processing
[Fall 2023] - CPSC 488/588: AI Foundation Models
This course focuses on building blocks of foundation models. While the course primarily focuses on advances on LLMs, we will also cover foundation models in computer vision, as well as multi-modal foundation models.
[Spring 2023] - CPSC 670: Topics in Natural Language Processing
This seminar course is focused on Large Language Models and other recent advances in NLP.

Information about my lab
For more information about my lab and our research, including available opportunities, please check out the Yale NLP lab website lab website.

Publications

For most recent list of publications please refer to my Google Scholar page.

2022: I am very excited to share that I am joining Yale University as an Assistant Professor of Computer Science in January 2023!
2022: Serving as Area Chair for ICLR 2023.
2022: 4/4 papers accepted to NAACL 2022 (one findings, 3 main).
2022: 3/3 papers accepted to ACL 2022.
2022: I am giving a tutorial on few-shot learning at ACL 2022.
2022: I am helping organizing the SDP workshop at COLING 2022.
2022: Thanks to Sergi Castella for featuring FLEX as one of the 10 papers not to miss at NeurIPS 2021
2021: I am giving a tutorial on Document-level NLP at NAACL 2021.
2021: I am now an Affiliate Assistant Professor at University of Washington
2020: Our TLDR work featured on Nature.
2020: I'll be serving as an area chair in ICLR 2021.
2020: Longformer featured on Topbots as top 10 NLP papers to read in 2020.
2020: Co-organizing the SDP Workshop at NAACL 2021.
2020: I'll be serving as an area chair in NAACL 2021.
2020: Our submission ranked top in round 1 and 2 of TREC Covid Search leaderboard among 150+ submissions.
2020: Giving a talk in Naver Labs Europe on Long Document Transformers
2020: I'll be serving as an area chair in ACL 2020.
2020: Giving a talk at Ubiquitous Knowledge Processing (UKP) on "Towards Scientific Language Understanding".
2020: SPECTER is now used in SemanticScholar to power recommendations.
2019: Structural scaffolds is now used in SemanticScholar to predict citation intents for over 80M+ papers.
2019: Honored to receive the Dr. Harold N. Glassman Distinguished Dissertation Awards at Gerogetown University.
2018: I successfully defended my PhD dissertation: Text summarization and categorization for scientific and health-related data.
2018: Honored to receive the 2018 Dr. Karen Gale exceptional PhD student award!

🔍 Current Research Focus

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