--- title: "Xuanle Zhao — author profile and papers — Elamur Research" description: "Xuanle Zhao, Chinese Academy of Sciences: 3 papers on Elamur Research (2025–2026), h-index 4 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/xuanle-zhao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuanle-zhao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuanle Zhao # Xuanle Zhao Xuanle Zhao has 3 papers in our library, in 2025–2026, most of them on [Code & programming languages](https://md.research.elamur.ai/free/en/topics/code-and-programming/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Bo XU](https://md.research.elamur.ai/free/en/authors/bo-xu/), [Chi Chen](https://md.research.elamur.ai/free/en/authors/chi-chen/), [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5104174550) · [**h-index 4**](https://openalex.org/authors/A5104174550) · [28 works](https://openalex.org/works?filter=author.id:A5104174550) · [22 citations](https://openalex.org/works?filter=author.id:A5104174550&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xuanle-zhao/#papers) · [🔗 Cited 135 times in our library](https://md.research.elamur.ai/free/en/authors/xuanle-zhao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9937](https://md.research.elamur.ai/free/en/paper-stars/page/100/#star-9937) 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=Xuanle+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuanle+Zhao) · [dblp](https://dblp.org/search?q=Xuanle+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Xuanle+Zhao) ## Affiliations [🔬**Institute of Automation** Beijing · China 2023–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2023–2026 · 11 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2023–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Tsinghua University** Beijing · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏢**Meituan** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/meituan/) · [🔬**Shandong Institute of Automation** Jinan · China 2026 · 1 paper*current*](https://ror.org/00qdtba35) 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 9 The field of science this work belongs to (OpenAlex fields).[Computer Science · 3 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [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 4 Research subjects and languages the work is about.[Code & programming languages · 2 works](https://md.research.elamur.ai/free/en/topics/code-and-programming/) · [Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/xuanle-zhao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xuanle-zhao/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation](https://md.research.elamur.ai/free/en/papers/zhao-2025-chartcoder-advancing-multimodal-large-language/)** *(2025 · 24 citations)* Open-source multimodal LLMs read charts reasonably well, but they struggle to turn a chart image into plotting code. Their output often fails to run, picks the wrong chart type, or loses details such as axis sizes. The authors argue that code is a lossless description of a chart, unlike textual summaries. 2. **[OmniDiagram: Advancing Unified Diagram Code Generation via Visual Interrogation Reward](https://md.research.elamur.ai/free/en/papers/yang-2026-omnidiagram-advancing-unified-diagram-code/)** *(2026 · 1 citation)* Most current systems that turn diagrams into code handle only one task or one output language. That limits their use across the many kinds of structured diagrams. OmniDiagram is a single multimodal model that covers three tasks: Diagram-to-Code, Diagram Editing and Text-to-Code. It produces LaTeX, Mermaid and PlantUML. 3. **[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… ## All works 4 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. **[ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation](https://md.research.elamur.ai/free/en/papers/zhao-2025-chartcoder-advancing-multimodal-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuanle Zhao, Xianzhen Luo, Qi Shi, et al.*2025 · 24 citations* 2. **[AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage ↗](https://arxiv.org/abs/2505.20662) arXiv:2505.20662 · no summary yet**Xuanle Zhao et al.*2025 · 12 citations* 3. **[OmniDiagram: Advancing Unified Diagram Code Generation via Visual Interrogation Reward](https://md.research.elamur.ai/free/en/papers/yang-2026-omnidiagram-advancing-unified-diagram-code/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoyue Yang, Xuanle Zhao, Xuexin Liu, et al.*2026 · 1 citation* 4. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuanle Zhao, Xinyuan Cai, Xiang Cheng, et al.*2026* ## Co-authors here 8 co-authors with a page, the most papers together first. - [Bo XU](https://md.research.elamur.ai/free/en/authors/bo-xu/) - [Chi Chen](https://md.research.elamur.ai/free/en/authors/chi-chen/) - [Maosong Sun](https://md.research.elamur.ai/free/en/authors/maosong-sun/) - [Shuo Wang](https://md.research.elamur.ai/free/en/authors/shuo-wang/) - [Xianzhen Luo](https://md.research.elamur.ai/free/en/authors/xianzhen-luo/) - [Xinyuan Cai](https://md.research.elamur.ai/free/en/authors/xinyuan-cai/) - [Xiuyi Chen](https://md.research.elamur.ai/free/en/authors/xiuyi-chen/) - [Zhiyuan Liu](https://md.research.elamur.ai/free/en/authors/zhiyuan-liu/) ## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 135 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuanle-zhao/cited-by/). Updated 2 November 2026