--- title: "Xiaomo Liu · Peking University — author profile and papers" description: "Xiaomo Liu, Peking University: 3 papers on Elamur Research (2026), h-index 17 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xiaomo-liu/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiaomo-liu/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiaomo Liu # Xiaomo Liu Xiaomo Liu has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Manuela Veloso](https://md.research.elamur.ai/free/en/authors/manuela-veloso/), [Pranav Shetty](https://md.research.elamur.ai/free/en/authors/pranav-shetty/), [Samuel Mensah](https://md.research.elamur.ai/free/en/authors/samuel-mensah/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5048424819) · [ORCID](https://orcid.org/0000-0003-4184-4202) · [Wikidata](https://www.wikidata.org/wiki/Q130962362) · [**h-index 17**](https://openalex.org/authors/A5048424819) · [70 works](https://openalex.org/works?filter=author.id:A5048424819) · [1,646 citations](https://openalex.org/works?filter=author.id:A5048424819&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xiaomo-liu/#papers) · [🔗 Cited 67 times in our library](https://md.research.elamur.ai/free/en/authors/xiaomo-liu/cited-by/) · [4 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11857](https://md.research.elamur.ai/free/en/paper-stars/page/119/#star-11857) 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=Xiaomo+Liu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiaomo+Liu) · [dblp](https://dblp.org/search?q=Xiaomo+Liu) · [ACL Anthology](https://aclanthology.org/search/?q=Xiaomo+Liu) ## Affiliations [🎓**Peking University** Beijing · China 2013–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🏥**Peking University School and Hospital of Stomatology** Beijing · China 2013–2026 · 10 papers*current*](https://ror.org/00s2xkh70) · [🔬**J.P. Morgan** London · United Kingdom 2023–2026 · 4 papers*current*](https://ror.org/01sxmq816) · [🏢**Thomson Reuters** New York · United States 2015–2017 · 14 papers](https://ror.org/00m7gt169) · [🏢**JPMorgan Chase & Co** New York · United States 2023–2025 · 8 papers](https://md.research.elamur.ai/free/en/companies/jpmorgan-chase-co/) · [🏛️**National Medical Products Administration** Beijing · China 2022–2025 · 6 papers](https://ror.org/002k3wk88) 🏛️**S&P Global Inc** New York · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2018Employment since 2018 · Director of Data Science, Data Science 🏛️**Thomson Reuters Corp** New York · [United States](https://md.research.elamur.ai/free/en/countries/united-states/) 2013–2018Employment since 2013 · Research Scientist, Thomson Reuters ResearchEmployment 2015–2018 · Senior Research Scientist, Research and Development [🎓**Virginia Tech** Blacksburg · United States 2006–2013Education 2006–2013 · PhD, Computer Science](https://md.research.elamur.ai/free/en/universities/virginia-tech/) · [🎓**Chalmers University of Technology** Gothenburg · Sweden 2003–2005Education 2003–2005 · Master, Complex Adaptive System](https://md.research.elamur.ai/free/en/universities/chalmers-university-of-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 8 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/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) 🧭 Topics 3 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/xiaomo-liu/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Detecting Non-Membership in LLM Training Data via Rank Correlations](https://md.research.elamur.ai/free/en/papers/shetty-2026-detecting-non-membership-llm-training/)** *(2026)* Most auditing work on LLM training data asks whether a dataset was used (membership inference). This paper addresses the reverse question: how to show with statistical confidence that a model was not trained on a given dataset. Such evidence matters for copyright disputes, compliance checks, and agreements that… 2. **[Distill and Align Decomposition for Enhanced Claim Verification](https://md.research.elamur.ai/free/en/papers/magomere-2026-distill-align-decomposition-enhanced-claim/)** *(2026)* The paper tackles a weak spot in decompose-then-verify fact-checking of long LLM outputs. The step that splits sentences into subclaims is usually tuned separately from the verifier. It can therefore produce claims that are too fragmented, too coarse, or missing context for the verifier to judge well. The authors… 3. **[ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images](https://md.research.elamur.ai/free/en/papers/sibue-2026-exstructiny-benchmark-schema-variable-structured/)** *(2026)* Generalist vision-language models (VLMs) score well on standard document understanding benchmarks. It is less clear whether they can pull many related fields out of varied business documents and arrange them according to a schema the user defines on the fly. Existing resources do not test this well. KEE and RE… ## All works 7 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. **[DocLLM: A Layout-Aware Generative Language Model for Multimodal Document Understanding ↗](https://aclanthology.org/2024.acl-long.463/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Dongsheng Wang et al.*2024 · 112 citations* 2. **[Are ChatGPT and GPT-4 General-Purpose Solvers for Financial Text Analytics? A Study on Several Typical Tasks ↗](https://aclanthology.org/2023.emnlp-industry.39/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yet**Xianzhi Li et al.*2023 · 111 citations* 3. **[CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation ↗](https://aclanthology.org/2025.acl-long.931/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Santosh T.Y.S.S et al.*2025 · 2 citations* 4. **[Perturb Your Data: Paraphrase-Guided Training Data Watermarking ↗](https://doi.org/10.1609/aaai.v40i39.40575) arXiv:2512.17075 · no summary yet**Pranav Shetty et al.*2025 · 1 citation* 5. **[Detecting Non-Membership in LLM Training Data via Rank Correlations](https://md.research.elamur.ai/free/en/papers/shetty-2026-detecting-non-membership-llm-training/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pranav Shetty, Mirazul Haque, Zhiqiang Ma, et al.*2026* 6. **[Distill and Align Decomposition for Enhanced Claim Verification](https://md.research.elamur.ai/free/en/papers/magomere-2026-distill-align-decomposition-enhanced-claim/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jabez Magomere, Elena Kochkina, Samuel Mensah, et al.*2026* 7. **[ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images](https://md.research.elamur.ai/free/en/papers/sibue-2026-exstructiny-benchmark-schema-variable-structured/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Mathieu Sibue, Andrés Muñoz Garza, Samuel Mensah, et al.*2026* ## Co-authors here 9 co-authors with a page, the most papers together first. - [Manuela Veloso](https://md.research.elamur.ai/free/en/authors/manuela-veloso/) ×2 - [Pranav Shetty](https://md.research.elamur.ai/free/en/authors/pranav-shetty/) ×2 - [Samuel Mensah](https://md.research.elamur.ai/free/en/authors/samuel-mensah/) ×2 - [Zhiqiang Ma](https://md.research.elamur.ai/free/en/authors/zhiqiang-ma/) ×2 - [Arturo Oncevay](https://md.research.elamur.ai/free/en/authors/arturo-oncevay/) - [Charese Smiley](https://md.research.elamur.ai/free/en/authors/charese-smiley/) - [Elena Kochkina](https://md.research.elamur.ai/free/en/authors/elena-kochkina/) - [Jabez Magomere](https://md.research.elamur.ai/free/en/authors/jabez-magomere/) - [Simerjot Kaur](https://md.research.elamur.ai/free/en/authors/simerjot-kaur/) ## 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/) ×2: [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) ×2 - Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ×2 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) - Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track ## Cited by Papers of our library cite their works 67 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaomo-liu/cited-by/). Updated 1 November 2026