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Marcus Tantakoun

PhD Student, Mu Lab

Interests

  • Deep Learning
  • Natural Language Processing
  • Large Language Models
  • AI Planning

Education

  • Bachelor of Computing (BCPH), Artificial Intelligence, 2024

    Queen's University

Biography

I am currently a second-year PhD computing student, co-supervised by Professors Christian Muise and Xiaodan Zhu, at Queen’s University; previously completed my undergrad at Queen’s with a Bachelor’s of Computing (BCPH) in Artificial Intelligence. My research is interdisciplinary between NLP and Automated Planning. Particularly, involving the exploration of Large Language Models' (LLMs) powerful generative capabilities to complement Automated Planning systems. Outside of academics, I am an active participant in Kingston’s local music scene with a primary focus on playing bass and occasional dabbling in keys and guitar.

Recent Publications

  • FixMyPlan: Leveraging Large Language Models to Fix Ill-Defined Models and Incorrect Plans. PLAN-FM
  • L2P: A Python Toolkit for Automated PDDL Model Generation with Large Language Models. PLAN-FM
  • LLMs as Planning Modelers: A Survey for Leveraging Large Language Models to Construct Automated Planning Models. LM4Plan

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