--- title: "Jingyuan Li — author profile and papers · Text generation" description: "Jingyuan Li, Beijing Technology and Business University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/jingyuan-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jingyuan-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jingyuan Li # Jingyuan Li Jingyuan Li has 2 papers in our library, in 2026, most of them on [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jian Wang](https://md.research.elamur.ai/free/en/authors/jian-wang/), [Jian Zhang](https://md.research.elamur.ai/free/en/authors/jian-zhang/), [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139806007) · [ORCID](https://orcid.org/0009-0008-9384-9455) · [**h-index 1**](https://openalex.org/authors/A5139806007) · [7 works](https://openalex.org/works?filter=author.id:A5139806007) · [1 citations](https://openalex.org/works?filter=author.id:A5139806007&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jingyuan-li/#papers) · [⭐ Paper Stars ranking: #13671](https://md.research.elamur.ai/free/en/paper-stars/page/137/#star-13671) 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=Jingyuan+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jingyuan+Li) · [dblp](https://dblp.org/search?q=Jingyuan+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Jingyuan+Li) ## Affiliations [🎓**Beijing Technology and Business University** Beijing · China 2026 · 5 papers*current*](https://ror.org/013e0zm98) 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 6 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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) · [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/jingyuan-li/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation](https://md.research.elamur.ai/free/en/papers/shan-2026-factverse-benchmark-factual-consistency-interleaved/)** *(2026)* Generative MLLMs that interleave images and text can produce content that looks authoritative but contains factual errors. 2. **[Reasoning as Gradient: Scaling MLE Agents Beyond Tree Search](https://md.research.elamur.ai/free/en/papers/zhang-2026-reasoning-as-gradient-scaling-mle/)** *(2026)* Most LLM agents for machine learning engineering (MLE) improve solutions through tree or graph search. They reduce rich execution feedback to a scalar score and use it only to decide which candidate to keep. The authors argue that this is a gradient-free approach. It wastes diagnostic information that strong… ## Co-authors here 10 co-authors with a page, the most papers together first. - [Jian Wang](https://md.research.elamur.ai/free/en/authors/jian-wang/) - [Jian Zhang](https://md.research.elamur.ai/free/en/authors/jian-zhang/) - [Jiang Bian](https://md.research.elamur.ai/free/en/authors/jiang-bian/) - [Kun Zhang](https://md.research.elamur.ai/free/en/authors/kun-zhang/) - [Xiao Yang](https://md.research.elamur.ai/free/en/authors/xiao-yang/) - [Xu Yang](https://md.research.elamur.ai/free/en/authors/xu-yang/) - [Yifei Zhang](https://md.research.elamur.ai/free/en/authors/yifei-zhang/) - [Yu Wang](https://md.research.elamur.ai/free/en/authors/yu-wang/) - [Yuanzhuo Wang](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/) - [Yuge Zhang](https://md.research.elamur.ai/free/en/authors/yuge-zhang/) ## 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/) Updated 2 November 2026