Shuoqi Sun

PhD student at RMIT University.

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Building 14, RMIT University

Melbourne City, Vic, AU

👋 Hi there! I’m a first-year PhD student at the School of Computing Technologies, RMIT University. As a recipient of a full PhD scholarship and a student member of the ARC Centre of Excellence for Automated Decision-Making and Society (ADM+S), I’m lucky to work under the guidance of Dr. Danula Hettiachchi and Dr. Damiano Spina.

I earned a Master’s degree in Computer Science from The University of Queensland (UQ). At UQ, I also worked as a summer intern and a casual research assistant (RA) at the The Information Engineering Lab (ieLab), supervised by Prof. Guido Zuccon. My research focused on large language model (LLM)-based re-rankers, particularly investigating the impact of prompt variations on their performance.

My research interests lie in information retrieval (IR) and search systems. My research currently focus on:

  1. I research the effectiveness and vulnerabilities of LLM-based ranking systems, also where the systems are applied, e.g., RAG systems.
  2. I also study how the information seeking process and behavior have evolved in the modern (or contemporary) information environment, aiming to enhance the theoretical understanding of modern IR.

You can find my past activities and up-to-date CV here.

Latest News

Jun 18, 2025 🔥 Delighted to share that we are listed as one of the four finalists of the LiveRAG Challenge of the SIGIR 2025. Our paper is now available on arXiv, details are reported by ADM+S News.
Mar 27, 2025 🧑‍🏫 Honored to be presenting (slides) at the NeuroPhysIIR Workshop as a part of ACM SIGIR CHIIR 2025! A collaborative workshop report will be published in the SIGIR Forum in June 2025.
Mar 02, 2025 👨‍💻 Excited to share that I’ve started my position as a PhD Student at RMIT University and a student member of the ADM+S Center.
Jan 28, 2025 🎉 Delighted to share I’ve received the ECIR 2025 Student Support Grant!
Dec 17, 2024 🔥 Our paper, ‘An Investigation of Prompt Variations for Zero-shot LLM-based Rankers’, has been accepted as a full paper at The 47th European Conference on Information Retrieval (ECIR 2025)! Paper is now available: conference proceedings, and arXiv pre-print.