--- title: "Mingxu Chai · Fudan University — author profile and papers" description: "Mingxu Chai, Fudan University: 3 papers on Elamur Research (2026), h-index 5 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/mingxu-chai/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mingxu-chai/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mingxu Chai # Mingxu Chai Mingxu Chai has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/); often with [Guoqiang Zhang](https://md.research.elamur.ai/free/en/authors/guoqiang-zhang/), [Jiazheng Zhang](https://md.research.elamur.ai/free/en/authors/jiazheng-zhang/), [Zhiheng Xi](https://md.research.elamur.ai/free/en/authors/zhiheng-xi/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5109693861) · [**h-index 5**](https://openalex.org/authors/A5109693861) · [30 works](https://openalex.org/works?filter=author.id:A5109693861) · [38 citations](https://openalex.org/works?filter=author.id:A5109693861&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/mingxu-chai/#papers) · [🔗 Cited 4 times in our library](https://md.research.elamur.ai/free/en/authors/mingxu-chai/cited-by/) · [⭐ Paper Stars ranking: #12775](https://md.research.elamur.ai/free/en/paper-stars/page/128/#star-12775) 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=Mingxu+Chai) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mingxu+Chai) · [dblp](https://dblp.org/search?q=Mingxu+Chai) · [ACL Anthology](https://aclanthology.org/search/?q=Mingxu+Chai) ## Affiliations [🎓**Fudan University** Shanghai · China 2024–2026 · 16 papers*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) 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).[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 · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/mingxu-chai/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction](https://md.research.elamur.ai/free/en/papers/zhang-2026-unveiling-deficiencies-pre-trained-text/)** *(2026 · 1 citation)* Pre-trained text-and-layout models (PTLMs) score very highly on standard benchmarks for extracting information from visually-rich documents (VrD-IE), but they disappoint in practice. 2. **[AgentV-RL: Scaling Reward Modeling with Agentic Verifier](https://md.research.elamur.ai/free/en/papers/zhang-2026-agentv-rl-scaling-reward-modeling/)** *(2026)* Verifiers, or reward models, steer test-time scaling (TTS) in LLM reasoning, but they often fail on hard mathematical problems. 3. **[VRPO: Rethinking Value Modeling for Robust RL under Noisy Supervision in LLM Post-Training](https://md.research.elamur.ai/free/en/papers/zhu-2026-vrpo-rethinking-value-modeling-robust/)** *(2026)* Reward signals in LLM post-training are often noisy, sparse or ambiguous. When such errors pass through GAE, advantage estimates become distorted: credit drifts toward the end of a sequence (length hacking) or onto irrelevant tokens. Prior robust-RL work mostly cleans the reward model or filters data. This paper… ## Co-authors here 12 of 18 co-authors with a page, the most papers together first. - [Guoqiang Zhang](https://md.research.elamur.ai/free/en/authors/guoqiang-zhang/) ×2 - [Jiazheng Zhang](https://md.research.elamur.ai/free/en/authors/jiazheng-zhang/) ×2 - [Zhiheng Xi](https://md.research.elamur.ai/free/en/authors/zhiheng-xi/) ×2 - [Caishuang Huang](https://md.research.elamur.ai/free/en/authors/caishuang-huang/) - [Chenxin An](https://md.research.elamur.ai/free/en/authors/chenxin-an/) - [Chong Zhang](https://md.research.elamur.ai/free/en/authors/chong-zhang/) - [Enyu Zhou](https://md.research.elamur.ai/free/en/authors/enyu-zhou/) - [Junjie Ye](https://md.research.elamur.ai/free/en/authors/junjie-ye/) - [Ming Zhang](https://md.research.elamur.ai/free/en/authors/ming-zhang/) - [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) - [Senjie Jin](https://md.research.elamur.ai/free/en/authors/senjie-jin/) - [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/) ## 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/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 ## Cited by Papers of our library cite their works 4 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/mingxu-chai/cited-by/). Updated 2 November 2026