Sunhao Dai
Scholar

Sunhao Dai

Google Scholar ID: lXO-uZMAAAAJ
Renmin University of China
Recommender SystemsInformation RetrievalTrustworthyLarge Language Models
Citations & Impact
All-time
Citations
1,058
 
H-index
14
 
i10-index
16
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top international conferences including ACL 2025, KDD 2025, SIGIR 2025; one short paper on repeated consumption modeling was nominated for Best Short Paper at SIGIR 2024; one paper at ICLR 2025 was selected as an Oral presentation.
Research Experience
  • Published multiple papers in top international conferences such as ACL, KDD, SIGIR, etc., covering topics like length collapse in embedding models, LLM citation in the legal domain, clustering of neural bandits, source bias, generative AI search, and more.
Education
  • A fourth-year Ph.D. student at the Intelligent Information Retrieval Lab (IIR Lab) from the Gaoling School of Artificial Intelligence (GSAI), Renmin University of China (RUC), supervised by Prof. Jun Xu. From October 2024, a visiting Ph.D. student at NExT++ Research Centre, National University of Singapore (NUS), co-advised by Prof. Tat-Seng Chua and Prof. See-Kiong Ng.
Background
  • Research interests include Information Retrieval, Recommender Systems, and Large Language Models, particularly focusing on bias-related challenges in these areas. The long-term goal is to build a trustworthy and responsible information access system. Currently, the primary focus is on leveraging the reasoning capabilities of LLMs to enhance search and recommendation tasks, while addressing the trustworthiness issues associated with LLM-generated content.
Miscellany
  • Currently on the job market, expected to graduate in June 2026, actively seeking academic or industry opportunities.