--- title: "Chuanyang Zheng — author profile and papers · Reasoning" description: "Chuanyang Zheng, Chinese University of Hong Kong: 4 papers on Elamur Research (2023), h-index 5 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/chuanyang-zheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chuanyang-zheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chuanyang Zheng # Chuanyang Zheng Chuanyang Zheng has 4 papers in our library, in 2023, 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/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Enze Xie](https://md.research.elamur.ai/free/en/authors/enze-xie/), [Haiming Wang](https://md.research.elamur.ai/free/en/authors/haiming-wang/), [Zhengying Liu](https://md.research.elamur.ai/free/en/authors/zhengying-liu/). 4 papers in our library · 2023 [OpenAlex](https://openalex.org/A5114047453) · [**h-index 5**](https://openalex.org/authors/A5114047453) · [35 works](https://openalex.org/works?filter=author.id:A5114047453) · [120 citations](https://openalex.org/works?filter=author.id:A5114047453&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/chuanyang-zheng/#papers) · [🔗 Cited 276 times in our library](https://md.research.elamur.ai/free/en/authors/chuanyang-zheng/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5622](https://md.research.elamur.ai/free/en/paper-stars/page/57/#star-5622) 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=Chuanyang+Zheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chuanyang+Zheng) · [dblp](https://dblp.org/search?q=Chuanyang+Zheng) · [ACL Anthology](https://aclanthology.org/search/?q=Chuanyang+Zheng) ## Affiliations [🎓**Chinese University of Hong Kong** Hong Kong · China 2023–2026 · 15 papers*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) · [🏢**Alibaba Group** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2022–2025 · 4 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**South China Sea Institute Of Oceanology** Guangzhou · China 2022–2025 · 4 papers](https://ror.org/0192yj155) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed. ## 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).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 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/) · [Computational Theory and Mathematics · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 4 Research subjects and languages the work is about.[Reasoning · 4 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2023** 4 papers](https://md.research.elamur.ai/free/en/authors/chuanyang-zheng/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Progressive-Hint Prompting Improves Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/zheng-2023-progressive-hint-prompting-improves-reasoning/)** *(2023 · 131 citations)* Few-shot prompting methods such as Chain-of-Thought (CoT) and self-consistency improve multi-step reasoning in LLMs, but they treat each answer as final and never feed it back to the model. 2. **[LEGO-Prover: Neural Theorem Proving with Growing Libraries](https://md.research.elamur.ai/free/en/papers/wang-2023-lego-prover-neural-theorem-proving/)** *(2023 · 79 citations)* Formal theorem proving is still hard for large language models. Existing LLM-based provers often fail on competition problems at middle-school level. These "plain" provers write each proof as one long monolithic block and treat the available theorem library as fixed. So a lemma proved for one problem cannot help with… 3. **[FIMO: A Challenge Formal Dataset for Automated Theorem Proving](https://md.research.elamur.ai/free/en/papers/liu-2023-fimo-challenge-formal-dataset-automated/)** *(2023 · 53 citations)* Neural provers built on large language models still rarely solve olympiad-grade problems. Formal data is scarce and costly to produce, existing benchmarks contain few truly hard items, and most formal datasets lack natural-language counterparts. The authors address this with FIMO, a Lean benchmark drawn from the IMO… 4. **[DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning](https://md.research.elamur.ai/free/en/papers/xiong-2023-dq-lore-dual-queries-low/)** *(2023 · 27 citations)* The order and choice of demonstrations in a prompt strongly affect how well large language models solve multi-step reasoning problems. ## All works 6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. [**Progressive-Hint Prompting Improves Reasoning in Large Language Models arXiv:2304.09797**Chuanyang Zheng, Zhengying Liu, Enze Xie, et al.*2023 · 131 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2023-progressive-hint-prompting-improves-reasoning/) 2. [**LEGO-Prover: Neural Theorem Proving with Growing Libraries arXiv:2310.00656**Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.*2023 · 79 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-lego-prover-neural-theorem-proving/) 3. [**FIMO: A Challenge Formal Dataset for Automated Theorem Proving arXiv:2309.04295**Chengwu Liu, Jianhao Shen, Huajian Xin, et al.*2023 · 53 citations*](https://md.research.elamur.ai/free/en/papers/liu-2023-fimo-challenge-formal-dataset-automated/) 4. [**DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning arXiv:2310.02954**Jing Xiong, Zixuan Li, Chuanyang Zheng, et al.*2023 · 27 citations*](https://md.research.elamur.ai/free/en/papers/xiong-2023-dq-lore-dual-queries-low/) 5. **[Lyra: Orchestrating Dual Correction in Automated Theorem Proving ↗](https://arxiv.org/abs/2309.15806) arXiv:2309.15806 · no summary yet**Chuanyang Zheng et al.*2023 · 24 citations* 6. **[TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models ↗](https://aclanthology.org/2023.emnlp-main.711/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jing Xiong et al.*2023 · 21 citations* ## Co-authors here 12 of 21 co-authors with a page, the most papers together first. - [Enze Xie](https://md.research.elamur.ai/free/en/authors/enze-xie/) ×3 - [Haiming Wang](https://md.research.elamur.ai/free/en/authors/haiming-wang/) ×3 - [Zhengying Liu](https://md.research.elamur.ai/free/en/authors/zhengying-liu/) ×3 - [Huajian Xin](https://md.research.elamur.ai/free/en/authors/huajian-xin/) ×2 - [Jing Xiong](https://md.research.elamur.ai/free/en/authors/jing-xiong/) ×2 - [Lin Li](https://md.research.elamur.ai/free/en/authors/lin-li/) ×2 - [Qingxing Cao](https://md.research.elamur.ai/free/en/authors/qingxing-cao/) ×2 - [Yichun Yin](https://md.research.elamur.ai/free/en/authors/yichun-yin/) ×2 - [Zhenguo Li](https://md.research.elamur.ai/free/en/authors/zhenguo-li/) ×2 - [Chengming Li](https://md.research.elamur.ai/free/en/authors/chengming-li/) - [Han Shi](https://md.research.elamur.ai/free/en/authors/han-shi/) - [Jian Yin](https://md.research.elamur.ai/free/en/authors/jian-yin/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 276 times (of the 149,439 papers whose bibliographies we read); [48 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chuanyang-zheng/cited-by/). Updated 2 November 2026