--- title: "Yonghong Deng — author profile and papers · Interpretability" description: "Yonghong Deng, Beijing Institute of Technology: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/yonghong-deng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yonghong-deng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yonghong Deng # Yonghong Deng Yonghong Deng has 2 papers in our library, in 2026, most of them on [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Ping Jian](https://md.research.elamur.ai/free/en/authors/ping-jian/), [Xinyue Zhang](https://md.research.elamur.ai/free/en/authors/xinyue-zhang/), [Zhen Yang](https://md.research.elamur.ai/free/en/authors/zhen-yang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139774999) · [**h-index 0**](https://openalex.org/authors/A5139774999) · [2 works](https://openalex.org/works?filter=author.id:A5139774999) · [0 citations](https://openalex.org/works?filter=author.id:A5139774999&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yonghong-deng/#papers) · [⭐ Paper Stars ranking: #14075](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14075) 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=Yonghong+Deng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yonghong+Deng) · [dblp](https://dblp.org/search?q=Yonghong+Deng) · [ACL Anthology](https://aclanthology.org/search/?q=Yonghong+Deng) ## Affiliations [🎓**Beijing Institute of Technology** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-institute-of-technology/) 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 5 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/) · [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/) · [Language and Linguistics · 2 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 3 Research subjects and languages the work is about.[Interpretability · 2 works](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yonghong-deng/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability Study](https://md.research.elamur.ai/free/en/papers/yang-2026-how-do-llms-vlms-understand/)** *(2026)* The paper asks whether language alone, without images, lets LLMs and VLMs track how a viewpoint changes after a series of turns. 2. **[Where CoT Reasoning Commits: Entropy Traces Identify Interpretable Attention Heads](https://md.research.elamur.ai/free/en/papers/zhang-2026-where-cot-reasoning-commits-entropy/)** *(2026)* Chain-of-thought output does not show which internal components decide the final answer, and PEFT methods such as LoRA rarely explain why particular parameters work well as adaptation targets. ## Co-authors here 6 co-authors with a page, the most papers together first. - [Ping Jian](https://md.research.elamur.ai/free/en/authors/ping-jian/) ×2 - [Xinyue Zhang](https://md.research.elamur.ai/free/en/authors/xinyue-zhang/) ×2 - [Zhen Yang](https://md.research.elamur.ai/free/en/authors/zhen-yang/) ×2 - [Chengzhi Li](https://md.research.elamur.ai/free/en/authors/chengzhi-li/) - [Wenpeng Lu](https://md.research.elamur.ai/free/en/authors/wenpeng-lu/) - [Zhongbin Guo](https://md.research.elamur.ai/free/en/authors/zhongbin-guo/) ## 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 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/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) Updated 2 November 2026