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Sheng Guo

Sheng Guo has 2 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Vision & language; often with Bo Zheng, Haobo Wang, Qi Zhang.

2 papers in our library · 2026

OpenAlex · h-index 1 · 5 works · 1 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #13902

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

🏢Ant GroupHangzhou · China2026 · 5 paperscurrent🎓Zhejiang UniversityHangzhou · 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 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 4Research subjects and languages the work is about.Efficient models & compression · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document Analysis (2026)
    Financial analysts often need evidence that is spread across several filings, non-adjacent pages, and different formats such as prose, tables, and charts.
  2. MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification (2026)
    Industrial tables used in finance and similar high-stakes domains are wide, sparse, and mostly unlabeled. Their missing values often carry meaning, yet standard pipelines built around GBDTs such as XGBoost usually drop or impute them. The authors propose MaskTab, a self-supervised pretraining framework for this kind…

 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.

Updated

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