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  • PhD Thesis Proposal - Soumya Sanyal

    Fri, Oct 18, 2024 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

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    Presentation Title: Demystifying and Improving Large Language Models on Consistent Reasoning
     
    Date and Time: 18th October, 11 AM - 12 PM
     
    Location: OHE 114
     
    Committee Members: Prof. Xiang Ren (Chair), Prof. Morteza Dehghani, Prof. Robin Jia, Prof. Jieyu Zhao
     
    Presentation Abstract: Large Language Models (LLMs) have demonstrated remarkable performance on a variety of language tasks. Yet, a significant shortcoming of LLMs lies in their lack of consistency and generalization across diverse reasoning tasks. My thesis proposal aims to address this gap by systematically uncovering the limitations of LLMs in reasoning and developing methods to improve their reasoning consistency. The proposed research focuses on three core areas: (1) benchmarking the consistency of LLMs on deductive reasoning tasks, (2) accurately detecting inconsistencies in LLM reasoning across different language tasks, and (3) developing novel techniques to enhance the consistency and reliability of LLM reasoning. Through extensive research in these areas and proposed future thesis works, my proposal aims to make LLMs more consistent reasoners, ultimately minimizing the reasoning gap between humans and machines.

    Location: Olin Hall of Engineering (OHE) - 114

    Audiences: Everyone Is Invited

    Contact: Soumya Sanyal

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