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PhD Dissertation Defense - Dong Ho Lee

Title: Improving Language Model Through Context
 
Date and Time: Monday, April 28th, 2025 - 4:00p - 6:00p
 
Location: KAP 165
 
Committee Members: Jay Pujara (Chair), Xiang Ren, robin Jia, Fred Morstatter, amd Meisam, Razaviyayn
 
Abstract: Contextual cues are important in recent LM research, enabling models to reason effectively, handle complex tasks, and exhibit social intelligence through context-aware interactions. My research proposes foundational groundwork for the systematic study and practical incorporation of multiple contextual information into LM. Specifically, I address three key research questions: (1) Can LMs effectively learn from context during inference?; (2) Does adding context during training enhance model behavior?; (3) Can LMs dynamically generate and refine context to improve its output quality?To explore these questions, I explore a variety of contextual cues including (a) human-provided explanations [TriggerNER (ACL 2020), AutoTriggER (EACL 2023), LEAN-LIFE (ACL 2020), XMD (ACL 2023)]; (b) in-context examples [FewNER (ACL 2022), LLM-Data-Creation (EMNLP 2023), TKG-LLM (EMNLP 2023)]; (c) dialogue context [Normvio-RT (EMNLP 2023), LoCoMo (ACL 2024), REALTALK (2025)]; and (d) model-generated context [QUEST(2025)].
 
Zoom Link: https://usc.zoom.us/j/7469763888?pwd=UzAveW81ZGF5ZCt1Vkoxd09DUml0dz09

Location: Kaprielian Hall (KAP) - 165

Audiences: Everyone Is Invited

Contact: Dong Ho Lee

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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