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RAISE AI Seminar (Fall 2024)

Student Organizers: Xingyu Su, Maria Teleki, Bokun Wang

Faculty Mentors: James Caverlee, Shuiwang Ji, Tianbao Yang

Date: 9/4/24 

Time: 11:30am - 12:30pm
Location: EAB B106

Title: Can LLMs Think? Investigating the Planning and Reasoning Capabilities of Large Language Models

Speakers: Sambhav Khurana & Shubham Parashar

Abstract: As Large Language Models (LLMs) advance in Natural Language Understanding (NLU) and Generation (NLG), the focus of research is shifting towards evaluating their capabilities beyond traditional NLP tasks. A key area of interest is their ability to perform tasks requiring planning and reasoning, which are crucial for applying LLMs in complex, real-world scenarios, including autonomous decision-making, problem-solving, and strategic thinking. Our presentation explores the critical question: Can LLMs reason? Join us to delve into this emerging field’s latest findings and future directions.

Date: 9/11/24 

Time: 11:30am - 12:30pm

Location: PETR 118

Title: TBD

Speakers: TBD

Abstract: TBD

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