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Xuanle Zhao

Xuanle Zhao has 2 papers in our library, in 2025–2026, most of them on Code & programming languages, Language models & pretraining, Vision & language; often with Chi Chen, Maosong Sun, Shuo Wang.

2 papers in our library · 2025–2026

OpenAlex · h-index 4 · 28 works · 22 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 135 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8771

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

🔬Institute of AutomationBeijing · China2023–2026 · 12 paperscurrent🏛️Chinese Academy of SciencesBeijing · China2023–2026 · 11 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2023–2026 · 6 paperscurrent🎓Tsinghua UniversityBeijing · China2025–2026 · 2 paperscurrent🏢MeituanBeijing · China2026 · 1 papercurrent🔬Shandong Institute of AutomationJinan · 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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 2 worksInformation Systems · 2 worksArtificial Intelligence · 1 workLanguage and Linguistics · 1 work

🧭 Topics 3Research subjects and languages the work is about.Code & programming languages · 2 worksLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation (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 (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.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xuanle Zhao, Xianzhen Luo, Qi Shi, et al.2025 · 24 citations
  2. AutoReproduce: Automatic AI Experiment Reproduction with Paper Lineage ↗arXiv:2505.20662 · no summary yetXuanle Zhao et al.2025 · 12 citations
  3. OmniDiagram: Advancing Unified Diagram Code Generation via Visual Interrogation RewardFindings of the Association for Computational LinguisticsHaoyue Yang, Xuanle Zhao, Xuexin Liu, et al.2026 · 1 citation
  4. ChemVLR: Prioritizing Reasoning in Perception for Chemical Vision-Language Understanding ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetXuanle Zhao et al.2026

 Co-authors here

5 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 135 times (of the 149,439 papers whose bibliographies we read); 16 citing papers with a page here →.

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