THUIR — Information Retrieval Lab, Tsinghua University

清华大学信息检索课题组

THUIR is the Information Retrieval research group at Tsinghua University, founded in the 1990s by Prof. Shaoping Ma as one of China's earliest IR research groups. We work on the theories, algorithms, and applications of intelligent search and recommendation systems, aiming to bridge the gap between user information needs and available information resources.

We are ranked #1 globally in Web & Information Retrieval on CSRankings, with hundreds of papers published in top-tier venues (SIGIR, WWW, KDD, ACL, NeurIPS, etc.).

Team

• 4 Principal Investigators
• ~30 current graduate students
• 30+ Ph.D. and 50+ M.S. graduates to date

Research Areas

• Search & retrieval (dense/sparse retrieval, ranking, RAG)
• Recommendation systems
• User behavior modeling & evaluation
• LLM-based agents and memory

Open-Source Resources

• ReChorus — a unified, flexible recommendation algorithm toolkit
• ULTRA — unbiased learning-to-rank algorithms
• T2Ranking, Qilin, MemoryBench — retrieval & memory benchmarks released on the Hub

Links

• Website: www.thuir.cn
• GitHub: github.com/THUIR
• Twitter/X: @thuir_lab

Join Us

We recruit ~3-5 Ph.D. students, ~1 M.S. student, and ~1 postdoc per year. See our website for openings.