--- title: "Xing Hu — author profile and papers — Elamur Research" description: "Xing Hu, Institute of Computing Technology: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/xing-hu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xing-hu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xing Hu # Xing Hu Xing Hu has 2 papers in our library, in 2025–2026, 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 [Di Huang](https://md.research.elamur.ai/free/en/authors/di-huang/), [Yutong Wu](https://md.research.elamur.ai/free/en/authors/yutong-wu/), [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139770403) · [ORCID](https://orcid.org/0000-0001-9701-1790) · [**h-index 0**](https://openalex.org/authors/A5139770403) · [5 works](https://openalex.org/works?filter=author.id:A5139770403) · [0 citations](https://openalex.org/works?filter=author.id:A5139770403&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xing-hu/#papers) · 🔗 Cited 7 times in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10317](https://md.research.elamur.ai/free/en/paper-stars/page/104/#star-10317) 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=Xing+Hu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xing+Hu) · [dblp](https://dblp.org/search?q=Xing+Hu) · [ACL Anthology](https://aclanthology.org/search/?q=Xing+Hu) ## Affiliations [🔬**Institute of Computing Technology** Beijing · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Zhejiang University** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-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 · 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/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 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/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/xing-hu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xing-hu/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion](https://md.research.elamur.ai/free/en/papers/wu-2025-stepfun-formalizer-unlocking-autoformalization/)** *(2025 · 7 citations)* Autoformalization means converting natural-language math problems into formal statements, here in Lean 4. Current LLM approaches are still inaccurate. General-purpose models often misuse Lean details, such as calling functions that do not exist. Specialized translators trained on narrow annotated data tend to misread… 2. **[Rhombus: Incentivizing Coordination in Parallel Thinking through Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/nan-2026-rhombus-incentivizing-coordination-parallel-thinking/)** *(2026)* Parallel reasoning lets an LLM explore several solution attempts at once and then merge them. In practice, the explorers and the merger are usually built separately. The explorers do not know what the aggregator needs, so useful intermediate evidence gets lost at the hand-off. Rhombus treats this hand-off as a… ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. [**StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion arXiv:2508.04440**Yutong Wu, Di Huang, Ruosi Wan, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-stepfun-formalizer-unlocking-autoformalization/) 2. **[Rhombus: Incentivizing Coordination in Parallel Thinking through Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/nan-2026-rhombus-incentivizing-coordination-parallel-thinking/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziyuan Nan, Qi Yi, Di Huang, et al.*2026* 3. **[Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement Learning ↗](https://aclanthology.org/2026.findings-acl.895/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Xiaoyun Zhang et al.*2026* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Di Huang](https://md.research.elamur.ai/free/en/authors/di-huang/) ×2 - [Yutong Wu](https://md.research.elamur.ai/free/en/authors/yutong-wu/) ×2 - [Chenchen Zhang](https://md.research.elamur.ai/free/en/authors/chenchen-zhang/) - [Guanhua Huang](https://md.research.elamur.ai/free/en/authors/guanhua-huang/) - [Lei Qi](https://md.research.elamur.ai/free/en/authors/lei-qi/) - [Rui Zhang](https://md.research.elamur.ai/free/en/authors/rui-zhang/) - [Shijie Shang](https://md.research.elamur.ai/free/en/authors/shijie-shang/) - [Yue Peng](https://md.research.elamur.ai/free/en/authors/yue-peng/) - [Zenan Xu](https://md.research.elamur.ai/free/en/authors/zenan-xu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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/) - Findings of the Association for Computational Linguistics: ACL 2026 ## Cited by Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026