--- title: "Meng-Fen Chiang — author profile and papers · Reasoning" description: "Meng-Fen Chiang, National Yang Ming Chiao Tung University: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/meng-fen-chiang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/meng-fen-chiang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Meng-Fen Chiang # Meng-Fen Chiang Meng-Fen Chiang has 2 papers in our library, in 2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Kaiqi Zhao](https://md.research.elamur.ai/free/en/authors/kaiqi-zhao/), [Michael Witbrock](https://md.research.elamur.ai/free/en/authors/michael-witbrock/), [Xianda Zheng](https://md.research.elamur.ai/free/en/authors/xianda-zheng/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139729467) · [**h-index 0**](https://openalex.org/authors/A5139729467) · [3 works](https://openalex.org/works?filter=author.id:A5139729467) · [0 citations](https://openalex.org/works?filter=author.id:A5139729467&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/meng-fen-chiang/#papers) · [⭐ Paper Stars ranking: #13779](https://md.research.elamur.ai/free/en/paper-stars/page/138/#star-13779) 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=Meng-Fen+Chiang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Meng-Fen+Chiang) · [dblp](https://dblp.org/search?q=Meng-Fen+Chiang) · [ACL Anthology](https://aclanthology.org/search/?q=Meng-Fen+Chiang) ## Affiliations [🎓**National Yang Ming Chiao Tung University** Hsinchu · Taiwan 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/national-yang-ming-chiao-tung-university/) 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).[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/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/meng-fen-chiang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts](https://md.research.elamur.ai/free/en/papers/zheng-2026-disentangling-reasoning-logic-resolve-explicit/)** *(2026)* When retrieved documents give opposing answers to the same question, an LLM has to decide which source to trust. 2. **[Evo-PI: Aligning Medical Reasoning via Evolving Principle-Guided Supervision](https://md.research.elamur.ai/free/en/papers/zheng-2026-evo-pi-aligning-medical-reasoning/)** *(2026)* Multimodal LLMs trained for reasoning usually get static supervision. Fixed prompts, rules or scalar rewards check answer format and correctness but do little to shape how the model reasons, which leads to plateaus, fragile generalization and reward hacking. Evo-PI addresses this by turning reasoning principles into… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Kaiqi Zhao](https://md.research.elamur.ai/free/en/authors/kaiqi-zhao/) ×2 - [Michael Witbrock](https://md.research.elamur.ai/free/en/authors/michael-witbrock/) ×2 - [Xianda Zheng](https://md.research.elamur.ai/free/en/authors/xianda-zheng/) ×2 ## 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