--- title: "Xiaoyuan Liu — author profile and papers — Elamur Research" description: "Xiaoyuan Liu: 3 papers on Elamur Research (2020–2026), h-index 12 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xiaoyuan-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaoyuan-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiaoyuan Liu # Xiaoyuan Liu Xiaoyuan Liu has 3 papers in our library, in 2020–2026, 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Jen-tse Huang](https://md.research.elamur.ai/free/en/authors/jen-tse-huang/), [Pinjia He](https://md.research.elamur.ai/free/en/authors/pinjia-he/), [Wenxuan Wang](https://md.research.elamur.ai/free/en/authors/wenxuan-wang/). 3 papers in our library · 2020–2026 [OpenAlex](https://openalex.org/A5100605609) · [ORCID](https://orcid.org/0000-0003-1084-9713) · [Wikidata](https://www.wikidata.org/wiki/Q130924032) · [**h-index 12**](https://openalex.org/authors/A5100605609) · [56 works](https://openalex.org/works?filter=author.id:A5100605609) · [1,245 citations](https://openalex.org/works?filter=author.id:A5100605609&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xiaoyuan-liu/#papers) · [🔗 Cited 163 times in our library](https://md.research.elamur.ai/free/en/authors/xiaoyuan-liu/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4466](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4466) 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=Xiaoyuan+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiaoyuan+Liu) · [dblp](https://dblp.org/search?q=Xiaoyuan+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Xiaoyuan+Liu) ## Affiliations [🏢**Fujitsu** Sunnyvale · United States 2022–2023 · 11 papers](https://ror.org/0073whr05) · [🎓**University of Delaware** Newark · United States 2021–2023 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-delaware/) · [🎓**University of California, Berkeley** Berkeley · United States 2020–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-berkeley/) · [🎓**National University of Defense Technology** Changsha · China 2021–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2020–2023 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Henan Normal University** Xinxiang · China 2008–2011 · 3 papers](https://ror.org/00s13br28) · [🏛️**Chinese Academy of Sciences** Beijing · China 2019–2025 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Shenyang Institute of Automation** Shenyang · China 2019–2025 · 2 papers](https://ror.org/00ft6nj33) · [🔬**State Key Laboratory of Robotics** Liaoning 2019–2025 · 2 papers](https://ror.org/03pcw1780) · [🎓**Universiti Teknologi MARA** Shah Alam · Malaysia 2023–2024 · 2 papers](https://ror.org/05n8tts92) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](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/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaoyuan-liu/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaoyuan-liu/year/2025/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/xiaoyuan-liu/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[Pretrained Transformers Improve Out-of-Distribution Robustness](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-pretrained-transformers-improve-out-distribution/)** *(2020 · 452 citations)* NLP models are usually evaluated on test data from the same distribution as their training data, so it is unclear how they cope when writing style, topic or vocabulary changes. 2. **[Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/liu-2025-insight-over-sight-exploring-vision/)** *(2025 · 6 citations)* The paper investigates how multimodal LLMs behave when an image contradicts everyday commonsense they absorbed during training. 3. **[Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards](https://md.research.elamur.ai/free/en/papers/yuan-2026-curing-miracle-steps-llm-mathematical/)** *(2026)* Reinforcement learning with outcome-only rewards can teach LLMs to reach correct final answers through broken reasoning. ## All works 6 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Pretrained Transformers Improve Out-of-Distribution Robustness](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-pretrained-transformers-improve-out-distribution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dan Hendrycks, Xiaoyuan Liu, Eric Wallace, et al.*2020 · 452 citations* 2. **[Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry ↗](https://doi.org/10.56553/popets-2023-0045) Proceedings on Privacy Enhancing Technologies · no summary yet**Gonzalo Munilla Garrido et al.*2023 · 18 citations* 3. **[Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMs](https://md.research.elamur.ai/free/en/papers/liu-2025-insight-over-sight-exploring-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, et al.*2025 · 6 citations* 4. **[DeServe: Towards Affordable Offline LLM Inference via Decentralization ↗](https://arxiv.org/abs/2501.14784) arXiv:2501.14784 · no summary yet**Linyu Wu et al.*2025 · 3 citations* 5. **[Effective and Efficient Federated Tree Learning on Hybrid Data ↗](https://arxiv.org/abs/2310.11865) arXiv (Cornell University) · no summary yet**Qinbin Li et al.*2023 · 2 citations* 6. **[Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards](https://md.research.elamur.ai/free/en/papers/yuan-2026-curing-miracle-steps-llm-mathematical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.*2026* ## Co-authors here 10 co-authors with a page, the most papers together first. - [Jen-tse Huang](https://md.research.elamur.ai/free/en/authors/jen-tse-huang/) ×2 - [Pinjia He](https://md.research.elamur.ai/free/en/authors/pinjia-he/) ×2 - [Wenxuan Wang](https://md.research.elamur.ai/free/en/authors/wenxuan-wang/) ×2 - [Youliang Yuan](https://md.research.elamur.ai/free/en/authors/youliang-yuan/) ×2 - [Dan Hendrycks](https://md.research.elamur.ai/free/en/authors/dan-hendrycks/) - [Dawn Song](https://md.research.elamur.ai/free/en/authors/dawn-song/) - [Eric Wallace](https://md.research.elamur.ai/free/en/authors/eric-wallace/) - [Qiuzhi Liu](https://md.research.elamur.ai/free/en/authors/qiuzhi-liu/) - [Wenxiang Jiao](https://md.research.elamur.ai/free/en/authors/wenxiang-jiao/) - [Zhaopeng Tu](https://md.research.elamur.ai/free/en/authors/zhaopeng-tu/) ## 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/) ×3: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/), [ACL 2020](https://md.research.elamur.ai/free/en/venues/acl/2020/) - Proceedings on Privacy Enhancing Technologies ## Cited by Papers of our library cite their works 163 times (of the 149,439 papers whose bibliographies we read); [24 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaoyuan-liu/cited-by/). Updated 2 November 2026