--- title: "Zhaohan Zhang — author profile and papers — Elamur Research" description: "Zhaohan Zhang, Queen Mary University of London: 3 papers on Elamur Research (2024–2026), h-index 1 — affiliations, topics, co-authors…" canonical: "https://research.elamur.ai/free/en/authors/zhaohan-zhang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhaohan-zhang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zhaohan Zhang # Zhaohan Zhang Zhaohan Zhang has 3 papers in our library, in 2024–2026; often with [Chao Shen](https://md.research.elamur.ai/free/en/authors/chao-shen/), [Chengzhengxu Li](https://md.research.elamur.ai/free/en/authors/chengzhengxu-li/), [Ioannis Patras](https://md.research.elamur.ai/free/en/authors/ioannis-patras/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5056410797) · [**h-index 1**](https://openalex.org/authors/A5056410797) · [3 works](https://openalex.org/works?filter=author.id:A5056410797) · [6 citations](https://openalex.org/works?filter=author.id:A5056410797&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/zhaohan-zhang/#papers) · [🔗 Cited 21 times in our library](https://md.research.elamur.ai/free/en/authors/zhaohan-zhang/cited-by/) · [⭐ Paper Stars ranking: #8677](https://md.research.elamur.ai/free/en/paper-stars/page/87/#star-8677) 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=Zhaohan+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zhaohan+Zhang) · [dblp](https://dblp.org/search?q=Zhaohan+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Zhaohan+Zhang) ## Affiliations [🎓**Queen Mary University of London** London · United Kingdom 2024–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/queen-mary-university-of-london/) 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/zhaohan-zhang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/zhaohan-zhang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/zhaohan-zhang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better](https://md.research.elamur.ai/free/en/papers/liu-2024-does-detectgpt-fully-utilize-perturbation/)** *(2024 · 16 citations)* The paper tackles detection of machine-generated text (MGT) and addresses three weaknesses of DetectGPT. Its random perturbations can inject noise. It reduces perturbation to a single probability-difference score. Its threshold-based logit regression generalizes poorly and fails on single or small-batch inputs. The… 2. **[Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization](https://md.research.elamur.ai/free/en/papers/zhang-2025-get-confused-cautiously-textual-sequence/)** *(2025 · 7 citations)* Large language models can reproduce training passages word for word, which creates privacy and copyright risks. 3. **[Confidence Should Be Calibrated More Than One Turn Deep](https://md.research.elamur.ai/free/en/papers/zhang-2026-confidence-should-be-calibrated-more/)** *(2026 · 3 citations)* Research on LLM confidence calibration has mostly looked at single-turn question answering. Real deployments, however, involve dialogues where users push back. The authors define multi-turn calibration : confidence must match accuracy at every turn, given the conversation history. They introduce ECE@T , which… ## Co-authors here 6 co-authors with a page, the most papers together first. - [Chao Shen](https://md.research.elamur.ai/free/en/authors/chao-shen/) ×2 - [Chengzhengxu Li](https://md.research.elamur.ai/free/en/authors/chengzhengxu-li/) ×2 - [Ioannis Patras](https://md.research.elamur.ai/free/en/authors/ioannis-patras/) ×2 - [Xiaoming Liu](https://md.research.elamur.ai/free/en/authors/xiaoming-liu/) ×2 - [Ziquan Liu](https://md.research.elamur.ai/free/en/authors/ziquan-liu/) ×2 - [Yichen Wang](https://md.research.elamur.ai/free/en/authors/yichen-wang/) ## 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/), [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) ## Cited by Papers of our library cite their works 21 times (of the 149,439 papers whose bibliographies we read); [8 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/zhaohan-zhang/cited-by/). Updated 31 October 2026