--- title: "Zhang Zhang · Peking University — author profile and papers" description: "Zhang Zhang, Peking University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zhang-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhang-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhang Zhang # Zhang Zhang Zhang Zhang 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 [Chaoyou Fu](https://md.research.elamur.ai/free/en/authors/chaoyou-fu/), [Di He](https://md.research.elamur.ai/free/en/authors/di-he/), [Feng Li](https://md.research.elamur.ai/free/en/authors/feng-li/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5129786173) · [**h-index 0**](https://openalex.org/authors/A5129786173) · [4 works](https://openalex.org/works?filter=author.id:A5129786173) · [0 citations](https://openalex.org/works?filter=author.id:A5129786173&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhang-zhang/#papers) · [⭐ Paper Stars ranking: #14111](https://md.research.elamur.ai/free/en/paper-stars/page/142/#star-14111) 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=Zhang+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhang+Zhang) · [dblp](https://dblp.org/search?q=Zhang+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhang+Zhang) ## Affiliations [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) · [🎓**Peking University** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [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/zhang-zhang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse](https://md.research.elamur.ai/free/en/papers/zhang-2026-agentfactory-self-evolving-framework-through/)** *(2026)* Most self-evolving LLM agents store past successes as text, such as reflections, prompts or reasoning traces. 2. **[Scaling Law for Multimodal Large Language Model Supervised Fine-Tuning](https://md.research.elamur.ai/free/en/papers/zhang-2026-scaling-law-multimodal-large-language/)** *(2026)* The paper addresses a gap in multimodal LLM development: there is no established way to estimate how much supervised fine-tuning (SFT) data a vision-language model needs for a given model size or performance target. ## Co-authors here 11 co-authors with a page, the most papers together first. - [Chaoyou Fu](https://md.research.elamur.ai/free/en/authors/chaoyou-fu/) - [Di He](https://md.research.elamur.ai/free/en/authors/di-he/) - [Feng Li](https://md.research.elamur.ai/free/en/authors/feng-li/) - [Hongjin Qian](https://md.research.elamur.ai/free/en/authors/hongjin-qian/) - [Kun Wang](https://md.research.elamur.ai/free/en/authors/kun-wang/) - [Liang Wang](https://md.research.elamur.ai/free/en/authors/liang-wang/) - [Qingsong Wen](https://md.research.elamur.ai/free/en/authors/qingsong-wen/) - [Rong Jin](https://md.research.elamur.ai/free/en/authors/rong-jin/) - [Tao Yu](https://md.research.elamur.ai/free/en/authors/tao-yu/) - [YiFan Zhang](https://md.research.elamur.ai/free/en/authors/yifan-zhang/) - [Zheng Liu](https://md.research.elamur.ai/free/en/authors/zheng-liu/) ## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 Updated 2 November 2026