This is the first in a two-part series on AI. Join us for a discussion toward a better understanding of AI by Assistant Professor Junjie Hu.
Junjie Hu is an assistant professor with appointments in the Department of Biostatistics, Department of Computer Science and Data Science Institute at the University of Wisconsin-Madison. He obtained his Ph.D. from School of Computer Science at Carnegie Mellon University.
Hu have a broad interest in natural language processing and machine learning. His research goal is to build robust intelligent systems that evolve with changes in the environment and interact with people speaking different languages.
Over the past few years, the phenomenal success of NLP systems, such as ChatGPT and GPT-4, has been driven by the pre-training of large language models (LLMs) on massive raw texts. While LLMs have been booming, concerns about their reliability, especially in complex, unseen scenarios, have also arisen. Junjie will discuss several research questions: (1) How do pre-trained LLMs learn transferable language features? (2) How can we prompt LLMs to generate multi-step reasoning paths for complex language questions? His ab's ongoing work on LLMs' multi-step reasoning capability and discuss our initial findings will be shared.
If you have preliminary questions for the speaker, please send to Program Coordinator Millard Susman at msusman@wisc.edu by Thursday, October 19.
Food Pantry Contributions:
Checks payable to UW-Foundation, with "Open Seat" on the memo line may be mailed to UWRA, 21 North Park Street, Room 7205, Madison, WI 53715-1218.
Registration Deadline: Monday, October 23
Registration:
Advance registration is required. You are encouraged to register online. To register by phone or email, call the Association office. If you or your guest registered for this seminar but cannot attend, please cancel your registration online, or email/call the UWRA office.
NOTE: The weblink and virtual call information will be included in the meeting reminders registrants receive.
UW-Madison Retirement Association
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