---
title: "Zeli Su · Minzu University of China — author profile and papers"
description: "Zeli Su, Minzu University of China: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/zeli-su/"
---
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# Zeli Su

Zeli Su 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/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Guixian Xu](https://md.research.elamur.ai/free/en/authors/guixian-xu/), [Xuexian Song](https://md.research.elamur.ai/free/en/authors/xuexian-song/), [Ziyin Zhang](https://md.research.elamur.ai/free/en/authors/ziyin-zhang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5121319865) · [**h-index 1**](https://openalex.org/authors/A5121319865) · [16 works](https://openalex.org/works?filter=author.id:A5121319865) · [1 citations](https://openalex.org/works?filter=author.id:A5121319865&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zeli-su/#papers) · [⭐ Paper Stars ranking: #14110](https://md.research.elamur.ai/free/en/paper-stars/page/142/#star-14110)

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=Zeli+Su) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zeli+Su) · [dblp](https://dblp.org/search?q=Zeli+Su) · [ACL Anthology](https://aclanthology.org/search/?q=Zeli+Su)

## Affiliations

[🎓**Minzu University of China** Beijing · China 2025–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/minzu-university-of-china/) · [🏢**Ant Group** Hangzhou · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/ant-group/) · [🎓**Peking University** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Ningxia Medical University** Yinchuan · China 2017–2020 · 2 papers](https://ror.org/02h8a1848) · [🏥**Ningxia Medical University General Hospital** Yinchuan · China 2017–2020 · 2 papers](https://ror.org/049dkqr57)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[FTibSuite: A Comprehensive Resource Suite for Tibetan Vision–Language Modeling](https://md.research.elamur.ai/free/en/papers/xu-2026-ftibsuite-comprehensive-resource-suite-tibetan/)** *(2026)* Tibetan has been largely left out of recent progress in vision–language models. It lacks image–text data, multimodal instruction sets and standardized benchmarks, so Tibetan VLM results are hard to reproduce or compare. The authors address this with FTibSuite, which has three parts:
2. **[Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax](https://md.research.elamur.ai/free/en/papers/su-2026-reinforcement-learning-semantic-rewards-enables/)** *(2026)* When LLMs are adapted to a poorly supported language, they often lose ground on skills they already had. This is known as the alignment tax. The authors blame supervised fine-tuning (SFT): its token-level likelihood objective forces the model to copy small, skewed datasets, which overwrites pretrained knowledge. They…

## Co-authors here

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

- [Guixian Xu](https://md.research.elamur.ai/free/en/authors/guixian-xu/) ×2
- [Xuexian Song](https://md.research.elamur.ai/free/en/authors/xuexian-song/) ×2
- [Ziyin Zhang](https://md.research.elamur.ai/free/en/authors/ziyin-zhang/) ×2
- [Ting Zhang](https://md.research.elamur.ai/free/en/authors/ting-zhang/)
- [Wentao Zhang](https://md.research.elamur.ai/free/en/authors/wentao-zhang/)
- [Xiaolu Zhang](https://md.research.elamur.ai/free/en/authors/xiaolu-zhang/)
- [Xu Han](https://md.research.elamur.ai/free/en/authors/xu-han/)
- [Zhou Liu](https://md.research.elamur.ai/free/en/authors/zhou-liu/)

## 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
