Yale NLP Lab

The Yale NLP Lab is a research group in the Department of Computer Science at Yale University led by Arman Cohan. The research lab started in January 2023 with a broad focus in AI, including language modeling, representation learning, retrieval, and applications in specialized domains. Active areas of research include (no particular order):

  • Understanding and extending generalization capabilities of Large Language Models
  • Language modeling and representation learning for complex document-level tasks and long sequences
  • Multi-document and extreme multi-document language processing
  • Robust and truthworthy methods for generation and summarization
  • Scientific and scholarly document processing

If you are interested in joining our lab, click here for more information.

Oct 29, 2023 We were delighted to host Xi Ye from UT Austin for a talk on "Logical Reasoning in Language Models."
Oct 6, 2023 Thrilled to announce that 6 of our papers have been accepted at EMNLP 2023, including 3 in the main track and 3 as findings!
Sep 20, 2023 It was a pleasure hosting Denny Zhou from DeepMind for a discussion on reasoning in large language models.
Aug 26, 2023 A warm welcome to our new Ph.D. students, Yilun Zhao and Kaili Liu, who have joined our lab!
Jul 9, 2023 Yale NLP had a great time attending ACL 2023 in Toronto, Canada.
May 20, 2023 We're honored that our paper, "LongEval- Guidelines for Human Evaluation of Faithfulness in Long-form Summarization", received an Outstanding Paper Award at EACL 2023!