--- title: "Xinyuan Cai — author profile and papers — Elamur Research" description: "Xinyuan Cai, Chinese Academy of Sciences: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xinyuan-cai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xinyuan-cai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xinyuan Cai # Xinyuan Cai Xinyuan Cai has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Bo XU](https://md.research.elamur.ai/free/en/authors/bo-xu/), [H.S. Che](https://md.research.elamur.ai/free/en/authors/h-s-che/), [Jianfeng Cai](https://md.research.elamur.ai/free/en/authors/jianfeng-cai/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139817632) · [**h-index 0**](https://openalex.org/authors/A5139817632) · [1 works](https://openalex.org/works?filter=author.id:A5139817632) · [0 citations](https://openalex.org/works?filter=author.id:A5139817632&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xinyuan-cai/#papers) · [🔗 Cited 40 times in our library](https://md.research.elamur.ai/free/en/authors/xinyuan-cai/cited-by/) · [⭐ Paper Stars ranking: #9321](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9321) 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=Xinyuan+Cai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xinyuan+Cai) · [dblp](https://dblp.org/search?q=Xinyuan+Cai) · [ACL Anthology](https://aclanthology.org/search/?q=Xinyuan+Cai) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) 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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/chemistry/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Physical and Theoretical Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/chemistry/physical-and-theoretical-chemistry/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xinyuan-cai/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Kimi K3: Open Frontier Intelligence](https://md.research.elamur.ai/free/en/papers/kimi-team-2026-kimi-k3-open-frontier/)** *(2026 · 40 citations)* Open-weight LLMs have advanced quickly in reinforcement learning and test-time reasoning. However, most still sit near the 1T-parameter scale, so their pre-trained base models fall behind proprietary systems. Kimi K3 scales both pre-training and RL. It is a natively multimodal Mixture-of-Experts model with 2.8T total… 2. **[ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding](https://md.research.elamur.ai/free/en/papers/zhao-2026-chemvlr-prioritizing-reasoning-perception-chemical/)** *(2026)* ChemVLR addresses a gap in chemical vision-language modeling. Existing chemical VLMs such as ChemVLM and TinyChemVL map images of molecules or reactions directly to answers. They give no interpretable rationale, and they make little use of the LLM's latent chemical knowledge. ChemVLR instead reasons explicitly during… ## Co-authors here 12 co-authors with a page, the most papers together first. - [Bo XU](https://md.research.elamur.ai/free/en/authors/bo-xu/) - [H.S. Che](https://md.research.elamur.ai/free/en/authors/h-s-che/) - [Jianfeng Cai](https://md.research.elamur.ai/free/en/authors/jianfeng-cai/) - [Kimi Team](https://md.research.elamur.ai/free/en/authors/kimi-team/) - [Tongtong Bai](https://md.research.elamur.ai/free/en/authors/tongtong-bai/) - [Xiuyi Chen](https://md.research.elamur.ai/free/en/authors/xiuyi-chen/) - [Xuanle Zhao](https://md.research.elamur.ai/free/en/authors/xuanle-zhao/) - [Y. Charles](https://md.research.elamur.ai/free/en/authors/y-charles/) - [Yifan Bai](https://md.research.elamur.ai/free/en/authors/yifan-bai/) - [Yiping Bao](https://md.research.elamur.ai/free/en/authors/yiping-bao/) - [Yuxuan Cao](https://md.research.elamur.ai/free/en/authors/yuxuan-cao/) - [Ziwei Chai](https://md.research.elamur.ai/free/en/authors/ziwei-chai/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 40 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/xinyuan-cai/cited-by/). Updated 2 November 2026