---
title: "Qian Ma — author profile and papers — Elamur Research"
description: "Qian Ma, Pennsylvania State University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/qian-ma/"
---
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# Qian Ma

Qian Ma has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Qiong Wu](https://md.research.elamur.ai/free/en/authors/qiong-wu/), [Yao Ma](https://md.research.elamur.ai/free/en/authors/yao-ma/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5121736635) · [ORCID](https://orcid.org/0009-0005-4102-8290) · [**h-index 1**](https://openalex.org/authors/A5121736635) · [6 works](https://openalex.org/works?filter=author.id:A5121736635) · [3 citations](https://openalex.org/works?filter=author.id:A5121736635&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/qian-ma/#papers) · [⭐ Paper Stars ranking: #13091](https://md.research.elamur.ai/free/en/paper-stars/page/131/#star-13091)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Qian+Ma) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qian+Ma) · [dblp](https://dblp.org/search?q=Qian+Ma) · [ACL Anthology](https://aclanthology.org/search/?q=Qian+Ma)

## Affiliations

[🎓**Pennsylvania State University** State College · United States 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/pennsylvania-state-university/) · [🎓**Rensselaer Polytechnic Institute** Troy · United States 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/rensselaer-polytechnic-institute/)

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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/qian-ma/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity Identification](https://md.research.elamur.ai/free/en/papers/ma-2026-ground-then-rank-revisiting-knowledge/)** *(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…
2. **[Private Seeds, Public LLMs: Realistic and Privacy-Preserving Synthetic Data Generation](https://md.research.elamur.ai/free/en/papers/ma-2026-private-seeds-public-llms-realistic/)** *(2026)* Sensitive text, such as social media posts with self-disclosures or clinical notes, often cannot be shared.

## Co-authors here

2 co-authors with a page, the most papers together first.

- [Qiong Wu](https://md.research.elamur.ai/free/en/authors/qiong-wu/)
- [Yao Ma](https://md.research.elamur.ai/free/en/authors/yao-ma/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2

Updated 2 November 2026
