Qinkai Yu
Qinkai Yu has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning; often with Haiyan Zhao, Mengnan Du, Mingyu Jin.
OpenAlex · ORCID · h-index 6 · 21 works · 159 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 116 times in our library · ⭐ Paper Stars ranking: #6126
Affiliations
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 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work
Works by year
2020s
Papers
- The Impact of Reasoning Step Length on Large Language Models (2024 · 119 citations)
Chain of Thought (CoT) prompting helps large language models reason, but it is unclear which part of a CoT prompt drives the gains. - Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? (2025 · 36 citations)
The paper asks where inside a large language model knowledge of different difficulty becomes linearly readable.
Co-authors here
- Haiyan Zhao ×2
- Mengnan Du ×2
- Mingyu Jin ×2
- Wenyue Hua ×2
- Yanda Meng ×2
- Dong Shu
- Fan Yang
- Jingyuan Huang
- Kai Mei
- Kaize Ding
- Qingcheng Zeng
- Yongfeng Zhang
Venues
- International Conference on Computational Linguistics (COLING): COLING 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2024
Cited by
Updated
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