--- title: "Peijie Wang — author profile and papers — Elamur Research" description: "Peijie Wang, 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/peijie-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/peijie-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Peijie Wang # Peijie Wang Peijie Wang has 3 papers in our library, in 2025–2026, 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/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/), [Chao Deng](https://md.research.elamur.ai/free/en/authors/chao-deng/), [Jun Song](https://md.research.elamur.ai/free/en/authors/jun-song/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139766702) · [**h-index 0**](https://openalex.org/authors/A5139766702) · [2 works](https://openalex.org/works?filter=author.id:A5139766702) · [0 citations](https://openalex.org/works?filter=author.id:A5139766702&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/peijie-wang/#papers) · [🔗 Cited 27 times in our library](https://md.research.elamur.ai/free/en/authors/peijie-wang/cited-by/) · [⭐ Paper Stars ranking: #8166](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8166) 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=Peijie+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Peijie+Wang) · [dblp](https://dblp.org/search?q=Peijie+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Peijie+Wang) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**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/) 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 7 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/) · [Computer Vision and Pattern Recognition · 2 works](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/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 Topics 5 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/peijie-wang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/peijie-wang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[LongDocURL: a Comprehensive Multimodal Long Document Benchmark Integrating Understanding, Reasoning, and Locating](https://md.research.elamur.ai/free/en/papers/deng-2025-longdocurl-comprehensive-multimodal-long-document/)** *(2025 · 30 citations)* Evaluation of document understanding has not kept pace with large vision-language models (LVLMs). Standard datasets such as DocVQA cover only single pages and are close to saturated. Multi-page sets like MP-DocVQA and DUDE stay under 20 pages and rarely test how models connect different layout elements. 2. **[TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning Compression](https://md.research.elamur.ai/free/en/papers/li-2025-tl-dr-too-long-re/)** *(2025 · 8 citations)* Reasoning-focused LLMs that generate long Chain-of-Thought (CoT) often overthink, spending many tokens even on easy questions. Existing compression approaches usually need laborious data labeling, model interpolation (as in CoT-Valve), or costly RL with length penalties. 3. **[Geoparsing: Diagram Parsing for Plane and Solid Geometry with a Unified Formal Language](https://md.research.elamur.ai/free/en/papers/wang-2026-geoparsing-diagram-parsing-plane-solid/)** *(2026)* Multimodal LLMs often fail at geometry problems because they misread diagrams. They miss or invent points, lines, and relations. Prior diagram-parsing work, such as PGDP5K and FormalGeo7K, handled only plane figures. The authors build a single formal language that adopts the predicate-style notation of PGPS9K and… ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/) ×2 - [Chao Deng](https://md.research.elamur.ai/free/en/authors/chao-deng/) ×2 - [Jun Song](https://md.research.elamur.ai/free/en/authors/jun-song/) ×2 - [Pi Bu](https://md.research.elamur.ai/free/en/authors/pi-bu/) ×2 - [Zhong-Zhi Li](https://md.research.elamur.ai/free/en/authors/zhong-zhi-li/) ×2 - [Cheng-Lin Liu](https://md.research.elamur.ai/free/en/authors/cheng-lin-liu/) - [Fei Yin](https://md.research.elamur.ai/free/en/authors/fei-yin/) - [Haizhen Huang](https://md.research.elamur.ai/free/en/authors/haizhen-huang/) - [Haotian Xu](https://md.research.elamur.ai/free/en/authors/haotian-xu/) - [Jian Xu](https://md.research.elamur.ai/free/en/authors/jian-xu/) - [Lei Ji](https://md.research.elamur.ai/free/en/authors/lei-ji/) - [Ming-Liang Zhang](https://md.research.elamur.ai/free/en/authors/ming-liang-zhang/) ## 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/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [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/) ## Cited by Papers of our library cite their works 27 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/peijie-wang/cited-by/). Updated 1 November 2026