About Me
Hello! I'm Xukun Liu (εζε€), a passionate computer science student currently pursuing a Master of Computer Science at Northwestern University. My journey in computer science is driven by a deep passion for innovative solutions and the transformative power of technology. In addition to my academic pursuits, I am the co-founder and CTO of CourtAI, a venture aimed at democratizing legal advice with cutting-edge technology to provide high-quality, accessible, and affordable legal services. My technical expertise spans multiple programming languages including Python, Rust, C++, and Java, which I leverage to build robust and scalable solutions. I am particularly proficient in Natural Language Processing and have worked extensively with Large Language Models to enhance their efficiency and application. Beyond the screen, I find joy in exploring the great outdoors, where the complexity of nature often inspires my professional creativity and problem-solving approach.
I am currently seeking a full-time PhD position for Fall 2025, where I hope to delve deeper into cutting-edge research and continue my academic journey.
Academic Background
- Master of Computer Science
Northwestern University, Evanston, United States
September 2023 β June 2025 - Bachelor of Engineering in Computer Science and Technology
Southern University of Science and Technology, Shenzhen, China
September 2019 β June 2023
Research Interests
I am deeply interested in Natural Language Processing (NLP), Large Language Models (LLMs), Multi-modal, and Efficient AI systems. My recent projects include Adaptive Draft-Verification for Efficient Large Language Model Decoding, ToolNet, and collaborative platforms for tool-augmented LLMs like Gentopia.AI.
Awards
- Bronze Medal in 2020 China Collegiate Programming Contest, Mianyang Site.
- Bronze Medal in the 2020 ICPC Asia Nanjing Regional Contest.
- Outstanding Graduate of Southern University of Science and Technology (SUSTech).
- Outstanding Graduate of the Computer Science Department at Southern University of Science and Technology (SUSTech).
News and Updates
- π Feb 2025: Our paper Adaptive Draft-Verification for Efficient Large Language Model Decoding was accepted as an Oral Presentation at AAAI 2025! π
- π Dec 2024: Our paper Adaptive Draft-Verification for Efficient Large Language Model Decoding is accepted at the AAAI 2025. See you in Philadelphia!π
- π Nov 2024: Our paper MerryQuery: A Trustworthy LLM-Powered Tool Providing Personalized Support for Educators and Students is accepted at the AAAI 2025 Demonstration Program. See you in Philadelphia!π
- πΌ October 2024: I Joined Eigent AI as an intern, where Iβm responsible for maintaining the Camel.AI open-source library. Thrilled to collaborate with developers from around the world!
- π July 2024: We launched ADED, an innovative framework designed to significantly enhance the decoding speed and efficiency of large language models. See our website here!
- π July 2024: Our paper LawLLM is accepted at the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024) . See you in Boise!π
- π October 2023: The companion paper of Gentopia was accepted by #EMNLP 23. See you in Singapore! π¦π
- π September 2023: Honored to be a reviewer for AAAI 2024. Excited to contribute to this prestigious conference! π
- π June 2023: Started my Masterβs program at Northwestern University.
- π June 2023: Awarded Outstanding Graduate of Southern University of Science and Technology (SUSTech).
- π June 2023: Recognized as the Outstanding Graduate of the Computer Science Department at Southern University of Science and Technology (SUSTech).
- π§ June 2022 - July 2022: Interned as a Software Development Engineer at Huawei Technology, where I worked on designing neural networks for beam information recovery.
Feel free to connect with me through my GitHub: liuxukun2000