--- title: "Zhichao Sheng — author profile and papers · Reasoning" description: "Zhichao Sheng: 2 papers on Elamur Research (2024–2026) — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/zhichao-sheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhichao-sheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhichao Sheng # Zhichao Sheng Zhichao Sheng has 2 papers in our library, in 2024–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/); often with [Beichen Zhang](https://md.research.elamur.ai/free/en/authors/beichen-zhang/), [Chen Gong](https://md.research.elamur.ai/free/en/authors/chen-gong/), [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/). 2 papers in our library · 2024–2026 No OpenAlex profile matched yet. [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zhichao-sheng/#papers) · [🔗 Cited 24 times in our library](https://md.research.elamur.ai/free/en/authors/zhichao-sheng/cited-by/) · [⭐ Paper Stars ranking: #10536](https://md.research.elamur.ai/free/en/paper-stars/page/106/#star-10536) 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=Zhichao+Sheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhichao+Sheng) · [dblp](https://dblp.org/search?q=Zhichao+Sheng) · [ACL Anthology](https://aclanthology.org/search/?q=Zhichao+Sheng) ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [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/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zhichao-sheng/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zhichao-sheng/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models](https://md.research.elamur.ai/free/en/papers/zhou-2024-jiuzhang3-0-efficiently-improving-mathematical/)** *(2024 · 29 citations)* Specialised training data improves the mathematical reasoning of LLMs, but current approaches are costly. They either pre-train on huge math corpora or ask very large models such as GPT-4 to generate millions of problems. The authors test whether a relatively small model can be taught to synthesise useful math data… 2. **[Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language Models](https://md.research.elamur.ai/free/en/papers/sheng-2026-think-smart-not-hard-difficulty/)** *(2026)* Large Audio Language Models (LALMs) that use chain-of-thought tend to apply the same reasoning depth to every question. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Beichen Zhang](https://md.research.elamur.ai/free/en/authors/beichen-zhang/) - [Chen Gong](https://md.research.elamur.ai/free/en/authors/chen-gong/) - [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) - [Jiapeng Wang](https://md.research.elamur.ai/free/en/authors/jiapeng-wang/) - [Kun Zhou](https://md.research.elamur.ai/free/en/authors/kun-zhou/) - [Shijin Wang](https://md.research.elamur.ai/free/en/authors/shijin-wang/) - [Shilin Zhou](https://md.research.elamur.ai/free/en/authors/shilin-zhou/) - [Wayne Xin Zhao](https://md.research.elamur.ai/free/en/authors/wayne-xin-zhao/) - [Zhenghua Li](https://md.research.elamur.ai/free/en/authors/zhenghua-li/) - [Zhipeng Chen](https://md.research.elamur.ai/free/en/authors/zhipeng-chen/) ## 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/) - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2024](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2024/) ## Cited by Papers of our library cite their works 24 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhichao-sheng/cited-by/). Updated 3 November 2026