--- title: "Jian Luan · Zhejiang University — author profile and papers" description: "Jian Luan, Zhejiang University: 3 papers on Elamur Research (2023–2026), h-index 11 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/jian-luan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jian-luan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jian Luan # Jian Luan Jian Luan has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Wei Liu](https://md.research.elamur.ai/free/en/authors/wei-liu/), [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/), [Haohao Luo](https://md.research.elamur.ai/free/en/authors/haohao-luo/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5054843960) · [ORCID](https://orcid.org/0000-0002-2383-226X) · [**h-index 11**](https://openalex.org/authors/A5054843960) · [74 works](https://openalex.org/works?filter=author.id:A5054843960) · [477 citations](https://openalex.org/works?filter=author.id:A5054843960&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jian-luan/#papers) · [🔗 Cited 173 times in our library](https://md.research.elamur.ai/free/en/authors/jian-luan/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7005](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7005) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jian+Luan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jian+Luan) · [dblp](https://dblp.org/search?q=Jian+Luan) · [ACL Anthology](https://aclanthology.org/search/?q=Jian+Luan) ## Affiliations [🏢**Xiaomi** Beijing · China 2021–2026 · 34 papers*current*](https://md.research.elamur.ai/free/en/companies/xiaomi/) · [🎓**Zhejiang University** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🏢**Microsoft** Redmond · United States 2020 · 4 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🏢**Microsoft Research Asia** Beijing · China 2020 · 3 papers](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) 🏛️**University of Tokyo** Tokyo · [Japan](https://md.research.elamur.ai/free/en/countries/japan/) 2001–2003Education 2001–2003 · Master, Environment & Ocean Engineering [🎓**Tsinghua University** Beijing · China 1996–2000Education 1996–2000 · Bachelor, Mechanical Engineering](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jian-luan/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jian-luan/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jian-luan/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?](https://md.research.elamur.ai/free/en/papers/wei-2023-cmath-language-model-pass/)** *(2023 · 67 citations)* Existing math benchmarks for large language models are mostly English, often pitched at college level, and produce scores that are hard for non-specialists to interpret. 2. **[Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains](https://md.research.elamur.ai/free/en/papers/tan-2025-think-silently-think-fast-dynamic/)** *(2025 · 19 citations)* Chain-of-Thought prompting improves LLM accuracy on math problems, but it produces long token sequences that are slow and costly to generate. 3. **[Attention Basin: Why Contextual Position Matters in Large Language Models](https://md.research.elamur.ai/free/en/papers/yi-2026-attention-basin-why-contextual-position/)** *(2026 · 2 citations)* Large language models handle information unevenly depending on where it appears in the prompt. This paper asks why. Across 10 LLMs, the authors measured how much attention query tokens pay to each block in structured inputs, such as sets of retrieved documents or few-shot examples. Blocks at the start and end of the… ## All works 7 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security ↗](https://arxiv.org/abs/2401.05459) arXiv:2401.05459 · no summary yet**Yuanchun Li et al.*2024 · 100 citations* 2. **[A Comprehensive Evaluation of Quantization Strategies for Large Language Models ↗](https://aclanthology.org/2024.findings-acl.726/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Renren Jin et al.*2024 · 81 citations* 3. [**CMATH: Can Your Language Model Pass Chinese Elementary School Math Test? arXiv:2306.16636**Tianwen Wei, Jian Luan, Wei Liu, et al.*2023 · 67 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-cmath-language-model-pass/) 4. **[Think Silently, Think Fast: Dynamic Latent Compression of LLM Reasoning Chains](https://md.research.elamur.ai/free/en/papers/tan-2025-think-silently-think-fast-dynamic/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Wenhui Tan, Jiaze Li, Jianzhong Ju, et al.*2025 · 19 citations* 5. **[Attention Basin: Why Contextual Position Matters in Large Language Models](https://md.research.elamur.ai/free/en/papers/yi-2026-attention-basin-why-contextual-position/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Yi, Zhenqing Ling, Delong Zeng, et al.*2026 · 2 citations* 6. **[MobileBench-OL: A Comprehensive Chinese Benchmark for Evaluating Mobile GUI Agents in Real-World Environment ↗](https://aclanthology.org/2026.findings-acl.668/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Qinzhuo Wu et al.*2026* 7. **[Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA ↗](https://aclanthology.org/2026.acl-long.2129/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yuanlei Zheng et al.*2026* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Wei Liu](https://md.research.elamur.ai/free/en/authors/wei-liu/) ×2 - [Bin Wang](https://md.research.elamur.ai/free/en/authors/bin-wang/) - [Haohao Luo](https://md.research.elamur.ai/free/en/authors/haohao-luo/) - [Ruihua Song](https://md.research.elamur.ai/free/en/authors/ruihua-song/) - [Tianwen Wei](https://md.research.elamur.ai/free/en/authors/tianwen-wei/) - [Wenhui Tan](https://md.research.elamur.ai/free/en/authors/wenhui-tan/) - [Ying Shen](https://md.research.elamur.ai/free/en/authors/ying-shen/) - [Zhe Xu](https://md.research.elamur.ai/free/en/authors/zhe-xu/) - [Zihao Yi](https://md.research.elamur.ai/free/en/authors/zihao-yi/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - Findings of the Association for Computational Linguistics: ACL 2024 ×2 - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) ## Cited by Papers of our library cite their works 173 times (of the 149,439 papers whose bibliographies we read); [52 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jian-luan/cited-by/). Updated 1 November 2026