Hang Yuan
Hang Yuan has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Reasoning; often with Bin Yu, Jian Guo, Kai Chen.
OpenAlex · ORCID · h-index 15 · 62 works · 1,068 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 18 times in our library · ⭐ Paper Stars ranking: #10883
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workDecision Sciences · 1 workEconomics, Econometrics and Finance · 1 workFinance · 1 workManagement Science and Operations Research · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work
Works by year
2020s
Papers
- Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models (2025 · 13 citations)
Distilling chain-of-thought (CoT) traces from large reasoning models such as DeepSeek R1 into ordinary LLMs through SFT teaches them to reason. - QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model (2024 · 10 citations)
Adapting LLM agents to specialised fields such as quantitative investment is difficult because a high-quality domain knowledge base (for example, a library of financial alphas) is expensive or impractical to assemble by hand.
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