--- title: "Wen Yao — author profile and papers — Elamur Research" description: "Wen Yao, PLA Academy of Military Science: 2 papers on Elamur Research (2026), h-index 37 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/wen-yao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wen-yao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Wen Yao # Wen Yao Wen Yao has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/), [Guotong Geng](https://md.research.elamur.ai/free/en/authors/guotong-geng/), [Jiawei Zhang](https://md.research.elamur.ai/free/en/authors/jiawei-zhang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5089866078) · [ORCID](https://orcid.org/0000-0001-5224-9834) · [**h-index 37**](https://openalex.org/authors/A5089866078) · [337 works](https://openalex.org/works?filter=author.id:A5089866078) · [6,613 citations](https://openalex.org/works?filter=author.id:A5089866078&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/wen-yao/#papers) · [⭐ Paper Stars ranking: #13984](https://md.research.elamur.ai/free/en/paper-stars/page/140/#star-13984) 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=Wen+Yao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Wen+Yao) · [dblp](https://dblp.org/search?q=Wen+Yao) · [ACL Anthology](https://aclanthology.org/search/?q=Wen+Yao) ## Affiliations [🔬**PLA Academy of Military Science** Beijing · China 2018–2026 · 104 papers*current*](https://md.research.elamur.ai/free/en/labs/pla-academy-of-military-science/) · [🎓**Zhejiang University** Hangzhou · China 2023 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**National University of Defense Technology** Changsha · China 2009–2024 · 51 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**Delft University of Technology** Delft · Netherlands 2010–2016 · 7 papers](https://md.research.elamur.ai/free/en/universities/delft-university-of-technology/) · [🏛️**Chinese People's Liberation Army** Beijing · China 2022–2026 · 6 papers](https://ror.org/05tf9r976) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 1 Research subjects and languages the work is about.[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/wen-yao/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs](https://md.research.elamur.ai/free/en/papers/zhang-2026-discal-distribution-aware-calibration-mathematical/)** *(2026)* Large reasoning models solve math word problems well on clean text. When the input contains typos or similar character-level corruption, their accuracy falls, but their confidence stays high. The authors document this mismatch and introduce DisCal, a calibration method built specifically for noisy inputs. 2. **[Model-Based Imaginative Planning for Embodied Agents](https://md.research.elamur.ai/free/en/papers/song-2026-model-based-imaginative-planning-embodied/)** *(2026)* Large language models plan well in symbolic domains such as math and code, where transition rules are already absorbed during pretraining. ## Co-authors here 9 co-authors with a page, the most papers together first. - [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/) - [Guotong Geng](https://md.research.elamur.ai/free/en/authors/guotong-geng/) - [Jiawei Zhang](https://md.research.elamur.ai/free/en/authors/jiawei-zhang/) - [Jun Zhang](https://md.research.elamur.ai/free/en/authors/jun-zhang/) - [Minghao Hu](https://md.research.elamur.ai/free/en/authors/minghao-hu/) - [Tingsong Jiang](https://md.research.elamur.ai/free/en/authors/tingsong-jiang/) - [Yang Yang](https://md.research.elamur.ai/free/en/authors/yang-yang/) - [Yunbo Cao](https://md.research.elamur.ai/free/en/authors/yunbo-cao/) - [Zhunchen Luo](https://md.research.elamur.ai/free/en/authors/zhunchen-luo/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 Updated 2 November 2026