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Yao Ma

Yao Ma has 3 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Vision & language; often with Qian Ma, Wenqi Fan, Xueru Zhang.

3 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 34 · 119 works · 3,579 citations OpenAlex, 2026-10-14

📄 3 works in our library · ⭐ Paper Stars ranking: #10855

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

🎓Rensselaer Polytechnic InstituteTroy · United States2024–2026 · 4 paperscurrent🎓Georgia Institute of TechnologyAtlanta · United States2015–2022 · 23 papersEducation since 2015🎓Lanzhou UniversityLanzhou · China2017–2025 · 11 papers🎓Anhui Normal UniversityWuhu · China2022–2023 · 10 papers🎓Zhejiang UniversityHangzhou · China2012–2023 · 7 papersEducation 2012–2015🔬State Key Laboratory of Applied Organic ChemistryGansu2019–2025 · 6 papers🏛️Chinese Academy of SciencesBeijing · China2017–2023 · 6 papers🎓Xiamen UniversityXiamen · China2008–2025 · 5 papersEducation 2008–2012🎓Beijing Institute of TechnologyBeijing · China2020–2022 · 5 papers🎓Northwest UniversityXi'an · China2018–2021 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 20 more institutions on single bylines are not listed.

 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).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Vision & language · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation (2026 · 1 citation)
    LLM-based graph learning studies use inconsistent datasets, preprocessing and splits, so it remains unclear how pure LLMs compare with dedicated graph models.
  2. Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification (2026 · 1 citation)
    Knowledge-based VQA requires facts that the image alone does not show. Multimodal LLMs often fail at it because they must recognise the exact real-world entity and then find the right supporting passage. The authors argue that most MM-RAG pipelines merge these two grounding steps into one costly, trained multimodal…
  3. Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection (2026 · 1 citation)
    Tabular fraud detectors such as gradient-boosted trees depend on laborious feature engineering and provide little insight into individual decisions.

 Co-authors here

4 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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