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Jingqun Tang

Jingqun Tang has 2 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining, Vision & language; often with Haiyang Yu, Jinghui Lu, Bin Li.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 11 · 42 works · 408 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 81 times in our library · ⭐ Paper Stars ranking: #9217

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢ByteDanceBeijing · China2023–2026 · 23 paperscurrent🏢Ant GroupHangzhou · China2022 · 2 papers
🏛️ByteDance Inc.Hangzhou · China2022–2025Employment 2022–2025 · AI
🎓Zhejiang UniversityHangzhou · China2012–2016Education 2012–2016

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 2 worksLanguage models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20251 paper

 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 (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 (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.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 81 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

Updated

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