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COLLOQUIUM: Lifu Huang, "Bridging the Modern Language Modeling with the Complex Open World"

Event Type
Seminar/Symposium
Sponsor
Illinois Computer Science
Location
HYBRID: 2405 Siebel Center for Computer Science or online
Virtual
wifi event
Date
Jan 22, 2024   3:30 pm  
Views
548
Originating Calendar
Siebel School Colloquium Series

Zoom: https://illinois.zoom.us/j/84549153949?pwd=MXRoTmtabFlZR1JMNXJRQ080anY1QT09

Refreshments Provided.

Abstract: 
Recent advancements in large language models (LLMs) have marked a significant milestone in the field of natural language processing. Yet, as we venture into the diverse and intricate terrain of the open world—encompassing varied topics, domains, and modalities—these models encounter formidable challenges. Key among these are issues like hallucination, grounded reasoning across multimodality, and the burden of high computational demands. My research aims to tackle these challenges, focusing on three broad themes: (1) knowledge acquisition and understanding in the dynamic open world; (2) generalizable and efficient intelligence; (3) enhancing human experience when interacting with these technologies. In this talk, I will mainly delve into the pursuit of generalizable and efficient intelligence. I'll first introduce our latest advancements in endowing models with a broader cognitive scope, evolving from answering simple questions to complex questions, and from understanding text to multimodality. Additionally, I will also highlight our recent research on addressing task interference, a crucial but usually overlooked issue, in the context of parameter-efficient tuning. The talk will conclude with discussions into our future directions under these three pivotal themes.
 

Bio:
Lifu Huang is an Assistant Professor in the Computer Science department at Virginia Tech. He obtained a PhD in Computer Science from University of Illinois at Urbana-Champaign in 2020. He has a wide range of research interests in natural language processing, machine learning and multimodal learning. His research has been recognized with an Outstanding Paper Award at ACL 2023 and Best Paper Award Honorable Mention at SIGIR 2023. He is a recipient of the NSF CAREER Award in 2023 and Amazon Research Award in 2021.

Part of the Illinois Computer Science Speakers Series. Faculty Host: Heng Ji


Meeting ID: 845 4915 3949 
Passcode: csillinois


If accommodation is required, please email <erink@illinois.edu> or <communications@cs.illinois.edu>. Someone from our staff will contact you to discuss your specific needs



 

 

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