--- title: "Xuehai Tang — author profile and papers — Elamur Research" description: "Xuehai Tang, Anhui Agricultural University: 4 papers on Elamur Research (2026), h-index 9 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xuehai-tang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuehai-tang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuehai Tang # Xuehai Tang Xuehai Tang has 4 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Biyu Zhou](https://md.research.elamur.ai/free/en/authors/biyu-zhou/), [Jizhong Han](https://md.research.elamur.ai/free/en/authors/jizhong-han/), [Songlin Hu](https://md.research.elamur.ai/free/en/authors/songlin-hu/). 4 papers in our library · 2026 [OpenAlex](https://openalex.org/A5047580108) · [ORCID](https://orcid.org/0000-0002-9901-4087) · [**h-index 9**](https://openalex.org/authors/A5047580108) · [63 works](https://openalex.org/works?filter=author.id:A5047580108) · [227 citations](https://openalex.org/works?filter=author.id:A5047580108&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xuehai-tang/#papers) · [⭐ Paper Stars ranking: #13289](https://md.research.elamur.ai/free/en/paper-stars/page/133/#star-13289) 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=Xuehai+Tang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuehai+Tang) · [dblp](https://dblp.org/search?q=Xuehai+Tang) · [ACL Anthology](https://aclanthology.org/search/?q=Xuehai+Tang) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2014–2026 · 38 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Information Engineering** Beijing · China 2014–2026 · 38 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-information-engineering/) · [🎓**Anhui Agricultural University** Hefei · China 2020–2026 · 10 papers*current*](https://ror.org/0327f3359) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2021–2025 · 10 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏛️**State Forestry and Grassland Administration** Beijing · China 2020–2024 · 3 papers](https://ror.org/03f2n3n81) · [🎓**Beijing Forestry University** Beijing · China 2010–2011 · 2 papers](https://ror.org/04xv2pc41) 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 · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 4 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 5 Research subjects and languages the work is about.[Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) ## Works by year ### 2020s [**2026** 4 papers](https://md.research.elamur.ai/free/en/authors/xuehai-tang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[FABLE: Fine-grained Fact Anchoring for Unstructured Model Editing](https://md.research.elamur.ai/free/en/papers/wang-2026-fable-fine-grained-fact-anchoring/)** *(2026)* Current unstructured model editing methods, such as UnKE and AnyEdit, can make an LLM reproduce an edited passage in full. 2. **[HearSay Benchmark: Do Audio LLMs Leak What They Hear?](https://md.research.elamur.ai/free/en/papers/wang-2026-hearsay-benchmark-do-audio-llms/)** *(2026)* Audio Large Language Models (ALLMs) are trained on huge amounts of speech. The authors ask whether this training lets them work out private facts about a speaker from the voice alone, with no help from what is actually said. To test this, they built HearSay, a benchmark of more than 22,000 real recordings. Most clips… 3. **[More Thinking, Less Talking: Internalizing Deliberative Safety into LLM Parameters](https://md.research.elamur.ai/free/en/papers/wang-2026-more-thinking-less-talking-internalizing/)** *(2026)* Explicit Safety-oriented Chain-of-Thought (SCoT) helps LLMs resist jailbreaks. However, the visible reasoning trace creates its own risks: it can leak harmful details before the model reaches a refusal, and it shows attackers how the model's safety logic works. The authors ask whether the protection of deliberative… 4. **[Resolving the Security-Auditability Dilemma with Auditable Latent Chain-of-Thought Alignment](https://md.research.elamur.ai/free/en/papers/wang-2026-resolving-security-auditability-dilemma-auditable/)** *(2026)* Reasoning-based safety alignment has LLMs write out their safety deliberation as a Chain-of-Thought (CoT), which makes supervision and auditing possible. ## Co-authors here 12 of 13 co-authors with a page, the most papers together first. - [Biyu Zhou](https://md.research.elamur.ai/free/en/authors/biyu-zhou/) ×3 - [Jizhong Han](https://md.research.elamur.ai/free/en/authors/jizhong-han/) ×3 - [Songlin Hu](https://md.research.elamur.ai/free/en/authors/songlin-hu/) ×3 - [Guan Wang](https://md.research.elamur.ai/free/en/authors/guan-wang/) ×2 - [Jin Wang](https://md.research.elamur.ai/free/en/authors/jin-wang/) - [Kaiwen Luo](https://md.research.elamur.ai/free/en/authors/kaiwen-luo/) - [Kun Wang](https://md.research.elamur.ai/free/en/authors/kun-wang/) - [Li Sun](https://md.research.elamur.ai/free/en/authors/li-sun/) - [Liang Lin](https://md.research.elamur.ai/free/en/authors/liang-lin/) - [Peng Wang](https://md.research.elamur.ai/free/en/authors/peng-wang/) - [Qingsong Wen](https://md.research.elamur.ai/free/en/authors/qingsong-wen/) - [Yitian Chen](https://md.research.elamur.ai/free/en/authors/yitian-chen/) ## 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 - [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