--- title: "Di Huang — author profile and papers — Elamur Research" description: "Di Huang, Chinese Academy of Sciences: 3 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/di-huang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/di-huang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Di Huang # Di Huang Di Huang has 3 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 [Xing Hu](https://md.research.elamur.ai/free/en/authors/xing-hu/), [Yutong Wu](https://md.research.elamur.ai/free/en/authors/yutong-wu/), [Bo Zhou](https://md.research.elamur.ai/free/en/authors/bo-zhou/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139836644) · [**h-index 0**](https://openalex.org/authors/A5139836644) · [4 works](https://openalex.org/works?filter=author.id:A5139836644) · [0 citations](https://openalex.org/works?filter=author.id:A5139836644&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/di-huang/#papers) · 🔗 Cited 7 times in our library · [⭐ Paper Stars ranking: #11486](https://md.research.elamur.ai/free/en/paper-stars/page/115/#star-11486) 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=Di+Huang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Di+Huang) · [dblp](https://dblp.org/search?q=Di+Huang) · [ACL Anthology](https://aclanthology.org/search/?q=Di+Huang) ## Affiliations [🔬**Institute of Computing Technology** Beijing · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) 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/) · [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 · 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/di-huang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/di-huang/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. **[Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhang-2026-revisiting-entropy-regularization-adaptive-coefficient/)** *(2026)* The paper addresses entropy collapse in Reinforcement Learning with Verifiable Rewards (RLVR) for LLMs. During RLVR, a policy can quickly become nearly deterministic, which stops exploration and limits reasoning gains. Entropy regularization is the standard fix, but recent pipelines often skip it because a fixed… 3. **[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… ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Xing Hu](https://md.research.elamur.ai/free/en/authors/xing-hu/) ×3 - [Yutong Wu](https://md.research.elamur.ai/free/en/authors/yutong-wu/) ×2 - [Bo Zhou](https://md.research.elamur.ai/free/en/authors/bo-zhou/) - [Chen Hu](https://md.research.elamur.ai/free/en/authors/chen-hu/) - [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/) - [Qi Yi](https://md.research.elamur.ai/free/en/authors/qi-yi/) - [Rui Zhang](https://md.research.elamur.ai/free/en/authors/rui-zhang/) - [Shijie Shang](https://md.research.elamur.ai/free/en/authors/shijie-shang/) - [Xiaoyun Zhang](https://md.research.elamur.ai/free/en/authors/xiaoyun-zhang/) - [Yue Peng](https://md.research.elamur.ai/free/en/authors/yue-peng/) ## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 ## Cited by Papers of our library cite their works 7 times (of the 149,439 papers whose bibliographies we read). Updated 2 November 2026