--- title: "Jianxiang Peng · Tianjin University — author profile and papers" description: "Jianxiang Peng, Tianjin University: 3 papers on Elamur Research (2023–2026), h-index 3 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/jianxiang-peng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jianxiang-peng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jianxiang Peng # Jianxiang Peng Jianxiang Peng has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Renren Jin](https://md.research.elamur.ai/free/en/authors/renren-jin/), [Yuqi Ren](https://md.research.elamur.ai/free/en/authors/yuqi-ren/), [Zhen Wang](https://md.research.elamur.ai/free/en/authors/zhen-wang/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5101394599) · [**h-index 3**](https://openalex.org/authors/A5101394599) · [9 works](https://openalex.org/works?filter=author.id:A5101394599) · [14 citations](https://openalex.org/works?filter=author.id:A5101394599&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jianxiang-peng/#papers) · [🔗 Cited 28 times in our library](https://md.research.elamur.ai/free/en/authors/jianxiang-peng/cited-by/) · [⭐ Paper Stars ranking: #9476](https://md.research.elamur.ai/free/en/paper-stars/page/95/#star-9476) 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=Jianxiang+Peng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jianxiang+Peng) · [dblp](https://dblp.org/search?q=Jianxiang+Peng) · [ACL Anthology](https://aclanthology.org/search/?q=Jianxiang+Peng) ## Affiliations [🎓**Tianjin University** Tianjin · China 2023–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/tianjin-university/) 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 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 2 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jianxiang-peng/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jianxiang-peng/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2023-m3ke-massive-multi-level/)** *(2023 · 34 citations)* Chinese large language models (LLMs) are improving quickly, but there has been no large Chinese benchmark that tests their knowledge the way the Chinese education system does. 2. **[From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan](https://md.research.elamur.ai/free/en/papers/yang-2026-curated-data-scalable-models-continual/)** *(2026 · 1 citation)* Mainstream LLMs are trained mostly on high-resource languages, so Tibetan remains poorly served despite its millions of speakers and cultural importance. The authors build an end-to-end pipeline to close this gap. 3. **[ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-expertivs-sociological-expert-driven-individual/)** *(2026)* LLM agents used for social simulation often fail to reproduce how a specific person thinks about values. Typical approaches paste survey answers into prompts as isolated statements, which loses the links between value dimensions. Evaluation usually relies on re-administering multiple-choice questionnaires, which… ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Renren Jin](https://md.research.elamur.ai/free/en/authors/renren-jin/) ×2 - [Yuqi Ren](https://md.research.elamur.ai/free/en/authors/yuqi-ren/) ×2 - [Zhen Wang](https://md.research.elamur.ai/free/en/authors/zhen-wang/) ×2 - [Bojian Xiong](https://md.research.elamur.ai/free/en/authors/bojian-xiong/) - [Chuang Liu](https://md.research.elamur.ai/free/en/authors/chuang-liu/) - [Deyi Xiong](https://md.research.elamur.ai/free/en/authors/deyi-xiong/) - [Jiang Zhou](https://md.research.elamur.ai/free/en/authors/jiang-zhou/) - [Junru Wu](https://md.research.elamur.ai/free/en/authors/junru-wu/) - [Lei Yang](https://md.research.elamur.ai/free/en/authors/lei-yang/) - [Leiyu Pan](https://md.research.elamur.ai/free/en/authors/leiyu-pan/) - [Ling Shi](https://md.research.elamur.ai/free/en/authors/ling-shi/) - [Linhao Yu](https://md.research.elamur.ai/free/en/authors/linhao-yu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 28 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jianxiang-peng/cited-by/). Updated 1 November 2026