--- title: "Xuefei Ning · Tsinghua University — author profile and papers" description: "Xuefei Ning, Tsinghua University: 2 papers on Elamur Research (2024–2026), h-index 20 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xuefei-ning/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuefei-ning/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuefei Ning # Xuefei Ning Xuefei Ning has 2 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Boxun Li](https://md.research.elamur.ai/free/en/authors/boxun-li/), [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/), [Guohao Dai](https://md.research.elamur.ai/free/en/authors/guohao-dai/). 2 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5086217226) · [ORCID](https://orcid.org/0000-0003-2209-8312) · [Wikidata](https://www.wikidata.org/wiki/Q130800814) · [**h-index 20**](https://openalex.org/authors/A5086217226) · [102 works](https://openalex.org/works?filter=author.id:A5086217226) · [1,779 citations](https://openalex.org/works?filter=author.id:A5086217226&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xuefei-ning/#papers) · [🔗 Cited 191 times in our library](https://md.research.elamur.ai/free/en/authors/xuefei-ning/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7978](https://md.research.elamur.ai/free/en/paper-stars/page/80/#star-7978) 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=Xuefei+Ning) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuefei+Ning) · [dblp](https://dblp.org/search?q=Xuefei+Ning) · [ACL Anthology](https://aclanthology.org/search/?q=Xuefei+Ning) ## Affiliations [🎓**Tsinghua University** Beijing · China 2012–2026 · 82 papersEducation 2012–2016 · Bachelor, Electronic EngineeringEducation 2016–2021 · PhD candidate, Electronic EngineeringEmployment since 2024 · Research-Track Assistant Professor, Department of Electronic Engineering*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Beijing National Research Center for Information Science and Technology** Beijing · China 2018–2025 · 4 papers](https://md.research.elamur.ai/free/en/labs/beijing-national-research-center-for-information-science-and-technology/) · [🏢**Huawei Technologies** Shenzhen · China 2022 · 2 papers](https://md.research.elamur.ai/free/en/companies/huawei-technologies/) 🏛️**Huawei-Tsinghua Joint Post-Doctoral Program** Beijing · [China](https://md.research.elamur.ai/free/en/countries/china/) 2021–2023Employment 2021–2023 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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 4 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Bias, fairness & safety · 1 work](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/xuefei-ning/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/xuefei-ning/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K](https://md.research.elamur.ai/free/en/papers/yuan-2024-lv-eval-balanced-long-context/)** *(2024 · 41 citations)* Long-context LLMs now advertise input windows of 128k–256k tokens or more. Popular evaluation suites, however, average only about 5k–21k words. They often reuse unmodified public texts that models may have memorized, and they score answers with brittle n-gram metrics. LV-Eval addresses these gaps with a bilingual… 2. **[How Quantization Shapes Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/marcuzzi-2026-how-quantization-shapes-bias-large/)** *(2026 · 3 citations)* Quantization is a common way to shrink LLMs for deployment, but its effect on social bias has received little systematic study. ## All works 4 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. **[A Survey on Efficient Inference for Large Language Models ↗](https://arxiv.org/abs/2404.14294) arXiv:2404.14294 · no summary yet**Zixuan Zhou et al.*2024 · 113 citations* 2. **[Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation ↗](https://arxiv.org/abs/2307.15337) arXiv:2307.15337 · no summary yet**Xuefei Ning et al.*2023 · 72 citations* 3. [**LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K arXiv:2402.05136**Tao Yuan, Xuefei Ning, Dong Zhou, et al.*2024 · 41 citations*](https://md.research.elamur.ai/free/en/papers/yuan-2024-lv-eval-balanced-long-context/) 4. **[How Quantization Shapes Bias in Large Language Models](https://md.research.elamur.ai/free/en/papers/marcuzzi-2026-how-quantization-shapes-bias-large/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Federico Marcuzzi, Xuefei Ning, Roy Schwartz, et al.*2026 · 3 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Boxun Li](https://md.research.elamur.ai/free/en/authors/boxun-li/) - [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/) - [Guohao Dai](https://md.research.elamur.ai/free/en/authors/guohao-dai/) - [Iryna Gurevych](https://md.research.elamur.ai/free/en/authors/iryna-gurevych/) - [Roy Schwartz](https://md.research.elamur.ai/free/en/authors/roy-schwartz/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) ## Cited by Papers of our library cite their works 191 times (of the 149,439 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuefei-ning/cited-by/). Updated 31 October 2026