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PhD Dissertation Defense - Soumya Sanyal

Title: Demystifying and Improving Large Language Models on Consistent Reasoning
 
Date and Time: Friday, May 16th, 2025 | 2:00p - 4:00p
 
Location: GCS 402C
 
Committee Members: Xiang Ren (Chair), Robin Jia, Morteza Deghani
 
Abstract: Large Language Models (LLMs) have demonstrated remarkable performance on various language tasks. However, their reasoning processes often lack consistency, a fundamental requirement for trust, reliability, and interpretability. In this talk, I define reasoning consistency as a multi-faceted concept that requires logical coherence, non-contradiction, and robustness to semantic and structural perturbations. My research focuses on three core areas: (1) benchmarking the consistency of LLMs on deductive reasoning tasks, (2) detecting inconsistencies in LLMs' internal reasoning across different language tasks, and (3) developing techniques to enhance the consistency and reliability of LLM reasoning. The findings aim to understand the behavior of LLMs and enhance their reliability in real-world applications where consistent reasoning is critical.

Location: Ginsburg Hall (GCS) - 402C

Audiences: Everyone Is Invited

Contact: Somuya Sanyal

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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