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PhD Thesis Proposal - James Huang

Title: Collaborative Decision-Making of Language Models
 
Date and Time: Friday, May 9th, 2025 | 3:00p - 4:30p
 
Location: GCS 502C
 
Committee Members: Muhao Chen, Fred Morstatter, Laurent Itti, Robbin Jia, Dan O'Leary
 
Abstract: While general-purpose language models have demonstrated strong performance on a wide range of tasks, they still have their own weaknesses such as biases, misalignment, lack of task-specific knowledge, etc. One promising way of addressing these challenges is to combine the strengths of different language models. In this proposal, I will outline my research exploring various strategies to facilitate collaborative decision making of language models. Specifically, I will present 1) a shortcut mitigation method via ensemble-based attention debiasing, 2) a decoding-time alignment framework that uses model-based reward functions to guide model generation, and 3) an unlearning method that removes sensitive knowledge by learning a logit offset. Finally, I will discuss future directions for language model collaboration.

Location: Ginsburg Hall (GCS) - 502C

Audiences: Everyone Is Invited

Contact: James Huang

This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.

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