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