--- title: "Guang Zhang — author profile and papers — Elamur Research" description: "Guang Zhang, Chinese University of Hong Kong: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/guang-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/guang-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Guang Zhang # Guang Zhang Guang Zhang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Guangyu Wang](https://md.research.elamur.ai/free/en/authors/guangyu-wang/), [Ruijie Xu](https://md.research.elamur.ai/free/en/authors/ruijie-xu/), [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139727286) · [**h-index 0**](https://openalex.org/authors/A5139727286) · [3 works](https://openalex.org/works?filter=author.id:A5139727286) · [0 citations](https://openalex.org/works?filter=author.id:A5139727286&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/guang-zhang/#papers) · [⭐ Paper Stars ranking: #13570](https://md.research.elamur.ai/free/en/paper-stars/page/136/#star-13570) 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=Guang+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Guang+Zhang) · [dblp](https://dblp.org/search?q=Guang+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Guang+Zhang) ## Affiliations [🎓**Chinese University of Hong Kong** Hong Kong · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/chinese-university-of-hong-kong/) 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.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [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/guang-zhang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations](https://md.research.elamur.ai/free/en/papers/wu-2026-prism-probing-reasoning-instruction-source/)** *(2026)* Most LLM hallucination benchmarks, such as TruthfulQA, HaluEval and FreshQA, mix query types and score only the final answer. 2. **[Rethinking Data Mixing from the Perspective of Large Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-rethinking-data-mixing-perspective-large/)** *(2026)* The paper asks how training data from different domains should be weighted when pretraining LLMs. It also asks whether human-assigned domain labels (e.g. C4, Wikipedia, ArXiv, Book) match what the model itself treats as distinct. The authors observe that per-sample gradients form clearly separated clusters by source… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Guangyu Wang](https://md.research.elamur.ai/free/en/authors/guangyu-wang/) - [Ruijie Xu](https://md.research.elamur.ai/free/en/authors/ruijie-xu/) - [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/) - [Yujie Chen](https://md.research.elamur.ai/free/en/authors/yujie-chen/) - [Yutong Zhang](https://md.research.elamur.ai/free/en/authors/yutong-zhang/) - [Zhuang Liu](https://md.research.elamur.ai/free/en/authors/zhuang-liu/) ## 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