--- title: "Zi Liang — author profile and papers — Elamur Research" description: "Zi Liang, Hong Kong Polytechnic University: 2 papers on Elamur Research (2026), h-index 8 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/zi-liang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zi-liang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Zi Liang # Zi Liang Zi Liang 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/); often with [Haiqin Yang](https://md.research.elamur.ai/free/en/authors/haiqin-yang/), [Kaishun Wu](https://md.research.elamur.ai/free/en/authors/kaishun-wu/), [Minxin Du](https://md.research.elamur.ai/free/en/authors/minxin-du/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5104035702) · [ORCID](https://orcid.org/0009-0003-1418-9537) · [Wikidata](https://www.wikidata.org/wiki/Q131168129) · [**h-index 8**](https://openalex.org/authors/A5104035702) · [65 works](https://openalex.org/works?filter=author.id:A5104035702) · [174 citations](https://openalex.org/works?filter=author.id:A5104035702&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/zi-liang/#papers) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #14145](https://md.research.elamur.ai/free/en/paper-stars/page/142/#star-14145) 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=Zi+Liang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Zi+Liang) · [dblp](https://dblp.org/search?q=Zi+Liang) · [ACL Anthology](https://aclanthology.org/search/?q=Zi+Liang) ## Affiliations [🎓**Hong Kong Polytechnic University** Hong Kong · China 2024–2026 · 22 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🏢**NetEase** Beijing · China 2024–2026 · 5 papers*current*](https://ror.org/00fp6fj05) · [🎓**Leshan Normal University** Leshan · China 2014–2022 · 12 papers](https://ror.org/036cvz290) · [🎓**Xi'an Jiaotong University** Xi'an · China 2023–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Southwest Minzu University** Chengdu · China 2007–2008 · 2 papers](https://ror.org/04gaexw88) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions 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).[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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/zi-liang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality](https://md.research.elamur.ai/free/en/papers/xie-2026-beyond-prompt-engineering-systematic-analysis/)** *(2026)* Large language models often react strongly to small wording changes in a prompt. Prior work mostly treats this as a black-box optimization problem or examines whole templates, so it does not explain which words make a prompt dependable. The authors instead analyze prompt sensitivity statistically at the n-gram token… 2. **[From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning](https://md.research.elamur.ai/free/en/papers/xu-2026-domains-instances-dual-granularity-data/)** *(2026)* Evaluating machine unlearning in LLMs is unreliable when forget sets do not match what the model actually knows. ## All works 3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching ↗](https://arxiv.org/abs/2502.18292) arXiv:2502.18292 · no summary yet**Nuo Xu et al.*2025 · 1 citation* 2. **[Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality](https://md.research.elamur.ai/free/en/papers/xie-2026-beyond-prompt-engineering-systematic-analysis/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qipeng Xie, Zi Liang, Jiafei Wu, et al.*2026* 3. **[From Domains to Instances: Dual-Granularity Data Synthesis for LLM Unlearning](https://md.research.elamur.ai/free/en/papers/xu-2026-domains-instances-dual-granularity-data/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xiaoyu Xu, Minxin Du, Zitong LI, et al.*2026* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Haiqin Yang](https://md.research.elamur.ai/free/en/authors/haiqin-yang/) - [Kaishun Wu](https://md.research.elamur.ai/free/en/authors/kaishun-wu/) - [Minxin Du](https://md.research.elamur.ai/free/en/authors/minxin-du/) - [Peizhao Hu](https://md.research.elamur.ai/free/en/authors/peizhao-hu/) - [Xiaoyu Xu](https://md.research.elamur.ai/free/en/authors/xiaoyu-xu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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 Updated 2 November 2026