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
  • Evaluation and science of 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 trustworthy methods for generation and summarization
  • Applications to scientific text

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

Dec 15, 2023 Yale NLP had a great time attending the EMNLP 2023 Conference in Singapore!"
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!