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Xinyuan Cai

Xinyuan Cai has 2 papers in our library, in 2026, most of them on Reasoning, Vision & language; often with Bo XU, H.S. Che, Jianfeng Cai.

2 papers in our library · 2026

OpenAlex · h-index 0 · 1 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 40 times in our library · ⭐ Paper Stars ranking: #9321

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏛️Chinese Academy of SciencesBeijing · China2026 · 1 papercurrent🔬Institute of AutomationBeijing · China2026 · 1 papercurrent

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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 2 worksArtificial Intelligence · 1 workLanguage and Linguistics · 1 workChemistry · 1 workComputational Theory and Mathematics · 1 workPhysical and Theoretical Chemistry · 1 work

🧭 Topics 2Research subjects and languages the work is about.Reasoning · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Kimi K3: Open Frontier Intelligence (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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

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