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Honglin Lin

Honglin Lin has 3 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining, Vision & language; often with Conghui He, Qizhi Pei, Xin Gao.

3 papers in our library · 2025–2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #10555

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

🎓Shanghai Jiao Tong UniversityShanghai · China2026 · 3 paperscurrent🔬Shanghai Artificial Intelligence LaboratoryShanghai · China2026 · 2 paperscurrent

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 · 3 worksArts and Humanities · 2 worksComputer Vision and Pattern Recognition · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksMathematics · 1 workApplied Mathematics · 1 workComputational Theory and Mathematics · 1 work

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

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction Fusion (2025 · 10 citations)
    Most data augmentation for mathematical SFT changes one problem at a time, for example by rewording it or adjusting its difficulty.
  2. ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch (2026 · 5 citations)
    Open-source vision-language models lag on chart reasoning, mainly because training data is weak. Synthetic charts tend to be simple and repetitive, and automatically generated QA pairs often contain hallucinated or numerically wrong answers. ChartVerse is a code-driven pipeline that builds both charts and reasoning…
  3. SciFlow-Bench: Evaluating Structure-Aware Scientific Diagram Generation via Inverse Parsing (2026 · 1 citation)
    Text-to-image systems can produce scientific figures that look polished but are logically wrong: they skip steps, invent labels, or point arrows in the wrong direction.

 Co-authors here

12 of 15 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 14 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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