---
title: "Xiangxiang Wang — author profile and papers in our library"
description: "Xiangxiang Wang, Anhui Jianzhu University: 2 papers on Elamur Research (2025), h-index 16 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/xiangxiang-wang/"
---
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# Xiangxiang Wang

Xiangxiang Wang has 2 papers in our library, in 2025, 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Cheng Huang](https://md.research.elamur.ai/free/en/authors/cheng-huang/), [Fan Gao](https://md.research.elamur.ai/free/en/authors/fan-gao/), [Nyima Tashi](https://md.research.elamur.ai/free/en/authors/nyima-tashi/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5101720265) · [ORCID](https://orcid.org/0000-0002-7661-950X) · [**h-index 16**](https://openalex.org/authors/A5101720265) · [66 works](https://openalex.org/works?filter=author.id:A5101720265) · [971 citations](https://openalex.org/works?filter=author.id:A5101720265&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xiangxiang-wang/#papers) · [🔗 Cited 9 times in our library](https://md.research.elamur.ai/free/en/authors/xiangxiang-wang/cited-by/) · [⭐ Paper Stars ranking: #11077](https://md.research.elamur.ai/free/en/paper-stars/page/111/#star-11077)

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

## Affiliations

[🎓**Anhui Jianzhu University** Hefei · China 2022–2026 · 11 papers*current*](https://ror.org/0108wjw08) · [🎓**Wenzhou Medical University** Wenzhou · China 2025–2026 · 2 papers*current*](https://ror.org/00rd5t069) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2024–2025 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Kunming University of Science and Technology** Kunming · China 2018–2021 · 8 papers](https://md.research.elamur.ai/free/en/universities/kunming-university-of-science-and-technology/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2020–2025 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Beijing Institute of Nanoenergy and Nanosystems** Beijing · China 2025 · 2 papers](https://ror.org/030k21z47) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Zhengzhou University** Zhengzhou · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/universities/zhengzhou-university/) · [🎓**Huaibei Normal University** Huaibei · China 2020 · 2 papers](https://ror.org/03ek23472) · [🎓**Soochow University** Suzhou · China 2018–2019 · 2 papers](https://md.research.elamur.ai/free/en/universities/soochow-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 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).[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/) · [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 5 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xiangxiang-wang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[TLUE: A Tibetan Language Understanding Evaluation Benchmark](https://md.research.elamur.ai/free/en/papers/gao-2025-tlue-tibetan-language-understanding-evaluation/)** *(2025 · 7 citations)* Tibetan has more than seven million speakers, yet it is largely absent from LLM evaluation. The authors address this with TLUE, which they describe as the first large-scale benchmark of Tibetan language understanding. TLUE has two parts. Ti-MMLU tests general knowledge, and Ti-SafetyBench tests safety behaviour. Both…
2. **[TFD: A Comprehensive Structured Tibetan Foundation Dataset for Low-Resource Language Processing and Large-Scale Modeling](https://md.research.elamur.ai/free/en/papers/huang-2025-tfd-comprehensive-structured-tibetan-foundation/)** *(2025 · 4 citations)* Tibetan large language models trail far behind those for major languages. Raw text is scarce, but the bigger problem is that no Tibetan resource covers the full pipeline of modern model building, which spans pre-training and instruction tuning, alignment for safety, optimization of preferences, and supervision of…

## Co-authors here

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

- [Cheng Huang](https://md.research.elamur.ai/free/en/authors/cheng-huang/) ×2
- [Fan Gao](https://md.research.elamur.ai/free/en/authors/fan-gao/) ×2
- [Nyima Tashi](https://md.research.elamur.ai/free/en/authors/nyima-tashi/) ×2
- [Yutong Liu](https://md.research.elamur.ai/free/en/authors/yutong-liu/) ×2

## Venues

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

- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## Cited by

Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiangxiang-wang/cited-by/).

Updated 2 November 2026
