Ruihan Yang
Ruihan Yang has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining; often with Caiqi Zhang, Deqing Yang, Nigel Collier.
OpenAlex · ORCID · h-index 17 · 63 works · 1,808 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 121 times in our library · ⭐ Paper Stars ranking: #6375
Affiliations
🎓Fudan UniversityShanghai ·
China2022–2026 · 5 papers🎓Henan Medical UniversityXinxiang ·
China2024–2026 · 2 papers🎓Beijing University of Chemical TechnologyBeijing ·
China2026 · 1 paper🎓University of California San DiegoSan Diego ·
United States2021–2025 · 8 papers🎓University of California, IrvineIrvine ·
United States2020–2025 · 7 papers🎓New York UniversityNew York ·
United States2019–2020 · 3 papers🏥Hospital of Stomatology, Sun Yat-sen UniversityGuangzhou2023–2024 · 2 papers🎓Sun Yat-sen UniversityGuangzhou ·
China2023–2024 · 2 papers🏥First People's Hospital of Yunnan ProvinceKunming ·
China2022 · 2 papers
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksPsychology · 1 workSocial Psychology · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- From Persona to Personalization: A Survey on Role-Playing Language Agents (2024 · 115 citations)
This survey organizes the fast-growing research on Role-Playing Language Agents (RPLAs), which are LLM-based systems that take on an assigned persona. - LoGU: Long-form Generation with Uncertainty Expressions (2025 · 13 citations)
Work on getting LLMs to admit what they do not know has mostly targeted short-form QA, where one confidence signal covers a single answer. - Confidence Estimation for LLMs in Multi-turn Interactions (2026 · 7 citations)
Most work on LLM confidence estimation looks at single questions answered once. This paper studies a different case: multi-turn dialogue, where useful information arrives over several turns. The authors argue that a good confidence signal in this setting must do two things. It should be calibrated at each turn, and…
Co-authors here
- Caiqi Zhang ×2
- Deqing Yang ×2
- Nigel Collier ×2
- Aili Chen
- Chengzu Li
- Dong Yu
- Jian Xie
- Jiangjie Chen
- Rui Xu
- Sen Yang
- Shuang Li
- Siyu Yuan
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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