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Dong Shu

Dong Shu has 3 papers in our library, in 2024–2026, most of them on Vision & language, Language models & pretraining, Evaluation & benchmarks; often with Mengnan Du, Huopu Zhang, Yanguang Liu.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 6 · 18 works · 331 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 89 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6510

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

🎓Northwestern UniversityEvanston · United States2024–2026 · 8 paperscurrent🏢Hyundai MotorsSeongnam-si · South Korea2026 · 1 papercurrent🎓Chung-Ang UniversitySeoul · South Korea2019–2023 · 8 papers

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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksComputer Vision and Pattern Recognition · 3 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksAccounting · 1 workBusiness, Management and Accounting · 1 workDecision Sciences · 1 workManagement Science and Operations Research · 1 work

🧭 Topics 4Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 workVision & language · 2 worksEvaluation & benchmarks · 1 work

 Works by year

2020s

20262 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. The Impact of Reasoning Step Length on Large Language Models (2024 · 119 citations)
    Chain of Thought (CoT) prompting helps large language models reason, but it is unclear which part of a CoT prompt drives the gains.
  2. FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language Models (2026 · 3 citations)
    Vision-language models have improved at reading charts, but financial charts, with dense layouts, time-series structure and specialist vocabulary, have received little dedicated evaluation.
  3. FinCall-Surprise: A Large Scale Multi-modal Benchmark for Earning Surprise Prediction (2026 · 1 citation)
    Forecasting whether a company's reported earnings per share will beat or miss market expectations can drive investment decisions.

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. 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetDong Shu, Sungwoo Park, Junseok Kwon2019 · 268 citations
  2. The Impact of Reasoning Step Length on Large Language ModelsFindings of the Association for Computational LinguisticsMingyu Jin, Qinkai Yu, Dong Shu, et al.2024 · 119 citations
  3. FinChart-Bench: Benchmarking Financial Chart Comprehension in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Dong Shu, Haoyang Yuan, Yuchen Wang, et al.2026 · 3 citations
  4. FinCall-Surprise: A Large Scale Multi-modal Benchmark for Earning Surprise PredictionAnnual Meeting of the Association for Computational Linguistics (ACL)Dong Shu, Yanguang Liu, Huopu Zhang, et al.2026 · 1 citation

 Co-authors here

9 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 89 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

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