Yiyan Qi
Yiyan Qi has 2 papers in our library, in 2025–2026, most of them on Information retrieval & search; often with Fengran Mo, Guancheng Wan, Guibin Zhang.
OpenAlex · ORCID · Wikidata · h-index 43 · 444 works · 7,703 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 22 times in our library · ⭐ Paper Stars ranking: #8251
Affiliations
🎓Columbia UniversityNew York ·
United States2021–2026 · 27 papers🎓Huazhong University of Science and TechnologyWuhan ·
China2013–2026 · 6 papers🎓Qiqihar Medical UniversityQiqihar ·
China2016–2026 · 4 papers🏥Tongji HospitalWuhan ·
China2013–2026 · 3 papers🎓Harbin Engineering UniversityHarbin ·
China2022–2026 · 2 papers🎓Shandong First Medical UniversityJinan ·
China2024–2026 · 2 papers🎓Hebei UniversityBaoding ·
China2026 · 1 paper🏢Huawei TechnologiesShenzhen ·
China2026 · 1 paper🎓Wenzhou UniversityWenzhou ·
China2026 · 1 paper🎓University of PittsburghPittsburgh ·
United States2015–2022 · 47 papers
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 work
🧭 Topics 1Research subjects and languages the work is about.Information retrieval & search · 1 work
Works by year
2020s
Papers
- MasRouter: Learning to Route LLMs for Multi-Agent Systems (2025 · 35 citations)
LLM-based multi-agent systems (MAS) often outperform single agents, but they consume many tokens. Existing LLM routers choose one model per query, so they only fit single-agent setups. They ignore how agents should cooperate and which roles they should play. The authors formalize this broader task as Multi-Agent… - ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting (2026 · 1 citation)
Attention-based re-ranking scores candidate documents from an LLM's internal attention rather than from generated output.
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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