Dear all,

Our next AI seminar on "Possible Impossibilities and Impossible Possibilities" by  Dr. Yejin Choi is scheduled to be on Oct 6th (Friday), 1-2 PM.  It will be followed by a 30-minute Q&A session with the graduate students. 

Location: KEC 1001

Possible Impossibilities and Impossible Possibilities
Yejin Choi
Wissner-Slivka Professor and MacArthur Fellow

Paul G. Allen School of Computer Science & Engineering

University of Washington 

Abstract:

In this talk, I will question if there can be possible impossibilities of large language models (i.e., the fundamental limits of transformers, if any) and the impossible possibilities of language models (i.e., seemingly impossible alternative paths beyond scale, if at all).

Speaker Bio:

Yejin Choi is Wissner-Slivka Professor and a MacArthur Fellow at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She is also a senior director at AI2 overseeing the project Mosaic and a Distinguished Research Fellow at the Institute for Ethics in AI at the University of Oxford. Her research investigates if (and how) AI systems can learn commonsense knowledge and reasoning, if machines can (and should) learn moral reasoning, and various other problems in NLP, AI, and Vision including neuro-symbolic integration, language grounding with vision and interactions, and AI for social good. She is a co-recipient of 2 Test of Time Awards (at ACL 2021 and ICCV 2021), 7 Best/Outstanding Paper Awards (at ACL 2023, NAACL 2022, ICML 2022, NeurIPS 2021, AAAI 2019, and ICCV 2013), the Borg Early Career Award (BECA) in 2018, the inaugural Alexa Prize Challenge in 2017, and IEEE AI's 10 to Watch in 2016.

Please watch this space for future AI Seminars :

https://engineering.oregonstate.edu/EECS/research/AI

Rajesh Mangannavar,

Graduate Student

Oregon State University

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AI Seminar Important Reminders:
-> For graduate students in the AI program, attendance is strongly encouraged