--- title: "Jingqun Tang · ByteDance — author profile and papers" description: "Jingqun Tang, ByteDance: 2 papers on Elamur Research (2025–2026), h-index 11 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/jingqun-tang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jingqun-tang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jingqun Tang # Jingqun Tang Jingqun Tang has 2 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Haiyang Yu](https://md.research.elamur.ai/free/en/authors/haiyang-yu/), [Jinghui Lu](https://md.research.elamur.ai/free/en/authors/jinghui-lu/), [Bin Li](https://md.research.elamur.ai/free/en/authors/bin-li/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5100681719) · [ORCID](https://orcid.org/0000-0003-2577-0119) · [**h-index 11**](https://openalex.org/authors/A5100681719) · [42 works](https://openalex.org/works?filter=author.id:A5100681719) · [408 citations](https://openalex.org/works?filter=author.id:A5100681719&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jingqun-tang/#papers) · [🔗 Cited 81 times in our library](https://md.research.elamur.ai/free/en/authors/jingqun-tang/cited-by/) · [⭐ Paper Stars ranking: #10437](https://md.research.elamur.ai/free/en/paper-stars/page/105/#star-10437) 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=Jingqun+Tang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jingqun+Tang) · [dblp](https://dblp.org/search?q=Jingqun+Tang) · [ACL Anthology](https://aclanthology.org/search/?q=Jingqun+Tang) ## Affiliations [🏢**ByteDance** Beijing · China 2023–2026 · 23 papers*current*](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🏢**Ant Group** Hangzhou · China 2022 · 2 papers](https://md.research.elamur.ai/free/en/companies/ant-group/) 🏛️**ByteDance Inc.** Hangzhou · [China](https://md.research.elamur.ai/free/en/countries/china/) 2022–2025Employment 2022–2025 · AI [🎓**Zhejiang University** Hangzhou · China 2012–2016Education 2012–2016](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) 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 5 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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 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/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jingqun-tang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jingqun-tang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning](https://md.research.elamur.ai/free/en/papers/lu-2025-prolonged-reasoning-all-need-certainty/)** *(2025 · 11 citations)* Reasoning-tuned LLMs and MLLMs tend to produce long chain-of-thought output for every query. This costs many tokens and can even hurt accuracy on easy, fact-based questions. A pilot with Qwen2.5-0.5B on text-rich VQA and KIE data showed that direct answers were both more accurate and far cheaper than reasoning-based… 2. **[Benchmarking Vision-Language Models on Chinese Ancient Documents: From OCR to Knowledge Reasoning](https://md.research.elamur.ai/free/en/papers/yu-2026-benchmarking-vision-language-models-chinese/)** *(2026 · 7 citations)* Large-scale scanning of historical Chinese books has produced many page images, but scanning alone does not make their content searchable or understandable. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Haiyang Yu](https://md.research.elamur.ai/free/en/authors/haiyang-yu/) ×2 - [Jinghui Lu](https://md.research.elamur.ai/free/en/authors/jinghui-lu/) ×2 - [Bin Li](https://md.research.elamur.ai/free/en/authors/bin-li/) - [Han Wang](https://md.research.elamur.ai/free/en/authors/han-wang/) - [Hao Feng](https://md.research.elamur.ai/free/en/authors/hao-feng/) - [Siliang Xu](https://md.research.elamur.ai/free/en/authors/siliang-xu/) ## 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/) ## Cited by Papers of our library cite their works 81 times (of the 149,439 papers whose bibliographies we read); [36 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jingqun-tang/cited-by/). Updated 31 October 2026