--- title: "Haoxiong Liu — author profile and papers · Reasoning" description: "Haoxiong Liu: 3 papers on Elamur Research (2024–2025), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/haoxiong-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haoxiong-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Haoxiong Liu # Haoxiong Liu Haoxiong Liu has 3 papers in our library, in 2024–2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Andrew Chi-Chih Yao](https://md.research.elamur.ai/free/en/authors/andrew-chi-chih-yao/), [Jianyuan Zhong](https://md.research.elamur.ai/free/en/authors/jianyuan-zhong/), [Jing Xiong](https://md.research.elamur.ai/free/en/authors/jing-xiong/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5049839933) · [**h-index 0**](https://openalex.org/authors/A5049839933) · [2 works](https://openalex.org/works?filter=author.id:A5049839933) · [0 citations](https://openalex.org/works?filter=author.id:A5049839933&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/haoxiong-liu/#papers) · [🔗 Cited 52 times in our library](https://md.research.elamur.ai/free/en/authors/haoxiong-liu/cited-by/) · [⭐ Paper Stars ranking: #9484](https://md.research.elamur.ai/free/en/paper-stars/page/95/#star-9484) 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=Haoxiong+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Haoxiong+Liu) · [dblp](https://dblp.org/search?q=Haoxiong+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Haoxiong+Liu) ## 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computational Theory and Mathematics · 3 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/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Applied Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/applied-mathematics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/haoxiong-liu/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/haoxiong-liu/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Augmenting Math Word Problems via Iterative Question Composing](https://md.research.elamur.ai/free/en/papers/liu-2024-augmenting-math-word-problems-iterative/)** *(2024 · 44 citations)* Open-source LLMs still do poorly on competition-level mathematics such as the MATH benchmark when they cannot call external tools. 2. **[Mathesis: Towards Formal Theorem Proving from Natural Languages](https://md.research.elamur.ai/free/en/papers/xuejun-2025-mathesis-towards-formal-theorem-proving/)** *(2025 · 9 citations)* Current LLM theorem provers for Lean 4 assume their input is already a formal statement written by an expert. Real problems, however, are stated in natural language. Mathesis targets the full chain from informal problem to verified proof. Its pipeline has three stages: 3. **[ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis](https://md.research.elamur.ai/free/en/papers/liu-2025-proofaug-efficient-neural-theorem-proving/)** *(2025 · 4 citations)* Neural theorem provers that combine LLMs with automation tools (built-in tactics, Sledgehammer-style ATPs) usually call those tools only where the model explicitly asks, or at a single level of detail. ## Co-authors here 8 co-authors with a page, the most papers together first. - [Andrew Chi-Chih Yao](https://md.research.elamur.ai/free/en/authors/andrew-chi-chih-yao/) ×2 - [Jianyuan Zhong](https://md.research.elamur.ai/free/en/authors/jianyuan-zhong/) - [Jing Xiong](https://md.research.elamur.ai/free/en/authors/jing-xiong/) - [Roozbeh Yousefzadeh](https://md.research.elamur.ai/free/en/authors/roozbeh-yousefzadeh/) - [Yifan Luo](https://md.research.elamur.ai/free/en/authors/yifan-luo/) - [Yifan Zhang](https://md.research.elamur.ai/free/en/authors/yifan-zhang/) - [Zhenguo Li](https://md.research.elamur.ai/free/en/authors/zhenguo-li/) - [Zijin Feng](https://md.research.elamur.ai/free/en/authors/zijin-feng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/): [Proceedings of the AAAI Conference on Artificial Intelligence 2024](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/2024/) ## Cited by Papers of our library cite their works 52 times (of the 149,439 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/haoxiong-liu/cited-by/). Updated 3 November 2026