--- title: "Binbin Zheng — author profile and papers — Elamur Research" description: "Binbin Zheng, University of Science and Technology of China: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/binbin-zheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/binbin-zheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Binbin Zheng # Binbin Zheng Binbin Zheng 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/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Ke Zeng](https://md.research.elamur.ai/free/en/authors/ke-zeng/), [Long Bai](https://md.research.elamur.ai/free/en/authors/long-bai/), [Lu Pan](https://md.research.elamur.ai/free/en/authors/lu-pan/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139840305) · [**h-index 0**](https://openalex.org/authors/A5139840305) · [3 works](https://openalex.org/works?filter=author.id:A5139840305) · [0 citations](https://openalex.org/works?filter=author.id:A5139840305&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/binbin-zheng/#papers) · [🔗 Cited 9 times in our library](https://md.research.elamur.ai/free/en/authors/binbin-zheng/cited-by/) · [⭐ Paper Stars ranking: #11270](https://md.research.elamur.ai/free/en/paper-stars/page/113/#star-11270) 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=Binbin+Zheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Binbin+Zheng) · [dblp](https://dblp.org/search?q=Binbin+Zheng) · [ACL Anthology](https://aclanthology.org/search/?q=Binbin+Zheng) ## Affiliations [🎓**University of Science and Technology of China** Hefei · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) 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 4 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/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/binbin-zheng/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning](https://md.research.elamur.ai/free/en/papers/fu-2026-maspo-unifying-gradient-utilization-probability/)** *(2026 · 7 citations)* RLVR methods like GRPO inherit PPO-style hard clipping, which the authors argue is poorly suited to how LLMs learn reasoning. 2. **[Maximizing Local Entropy Where It Matters: Prefix-Aware Localized LLM Unlearning](https://md.research.elamur.ai/free/en/papers/zhai-2026-maximizing-local-entropy-where-it/)** *(2026 · 2 citations)* Unlearning methods for LLMs aim to erase private or copyrighted knowledge without retraining. Most of them, such as GA and NPO, push down likelihoods over every token of a response and across the whole vocabulary. This wastes compute and harms general ability. The authors propose PALU (Prefix-Aware Localized… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Ke Zeng](https://md.research.elamur.ai/free/en/authors/ke-zeng/) - [Long Bai](https://md.research.elamur.ai/free/en/authors/long-bai/) - [Lu Pan](https://md.research.elamur.ai/free/en/authors/lu-pan/) - [Xun Yang](https://md.research.elamur.ai/free/en/authors/xun-yang/) - [Xunliang Cai](https://md.research.elamur.ai/free/en/authors/xunliang-cai/) - [Yonghui Yang](https://md.research.elamur.ai/free/en/authors/yonghui-yang/) - [Zekai Shao](https://md.research.elamur.ai/free/en/authors/zekai-shao/) ## 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 ## Cited by Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/binbin-zheng/cited-by/). Updated 2 November 2026