--- title: "Liang He · Sichuan University — author profile and papers" description: "Liang He, Sichuan University: 2 papers on Elamur Research (2023), h-index 21 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/liang-he/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/liang-he/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Liang He # Liang He Liang He has 2 papers in our library, in 2023, 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/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Anwen Hu](https://md.research.elamur.ai/free/en/authors/anwen-hu/), [Chenliang Li](https://md.research.elamur.ai/free/en/authors/chenliang-li/), [Guohai Xu](https://md.research.elamur.ai/free/en/authors/guohai-xu/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5100317860) · [ORCID](https://orcid.org/0000-0002-4006-993X) · [**h-index 21**](https://openalex.org/authors/A5100317860) · [144 works](https://openalex.org/works?filter=author.id:A5100317860) · [1,515 citations](https://openalex.org/works?filter=author.id:A5100317860&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/liang-he/#papers) · [🔗 Cited 145 times in our library](https://md.research.elamur.ai/free/en/authors/liang-he/cited-by/) · [⭐ Paper Stars ranking: #4486](https://md.research.elamur.ai/free/en/paper-stars/page/45/#star-4486) 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=Liang+He) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Liang+He) · [dblp](https://dblp.org/search?q=Liang+He) · [ACL Anthology](https://aclanthology.org/search/?q=Liang+He) ## Affiliations [🎓**Sichuan University** Chengdu · China 2022–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🎓**Nanjing University** Nanjing · China 2020–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🏛️**Chinese Academy of Sciences** Beijing · China 1987–2025 · 46 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Shanghai Institute of Technical Physics** Shanghai · China 1997–2025 · 25 papers](https://ror.org/02txedb84) · [🔬**Fujian Institute of Research on the Structure of Matter** Fuzhou · China 1987–2025 · 17 papers](https://ror.org/02j89k719) · [🔬**State Key Laboratory of Structural Chemistry** Fuzhou 2018–2025 · 15 papers](https://ror.org/023fpv336) · [🎓**East China Normal University** Shanghai · China 2023–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/east-china-normal-university/) · [🔬**Suzhou Institute of Biomedical Engineering and Technology** Suzhou · China 2023–2025 · 5 papers](https://ror.org/00f58mx93) · [🏢**Intel** Santa Clara · United States 2022–2024 · 3 papers](https://md.research.elamur.ai/free/en/companies/intel/) · [🏛️**Ministry of Industry and Information Technology** Beijing · China 2022–2023 · 3 papers](https://ror.org/0385nmy68) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 40 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 · 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 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/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2023** 2 papers Liang He's papers of 2023](https://md.research.elamur.ai/free/en/authors/liang-he/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model](https://md.research.elamur.ai/free/en/papers/ye-2023-ureader-universal-ocr-free-visually/)** *(2023 · 128 citations)* Understanding images that contain text, such as documents, tables, charts, webpages and street photos, usually requires either an external OCR system or costly domain-specific pretraining. 2. **[Evaluating the Performance of Large Language Models on GAOKAO Benchmark](https://md.research.elamur.ai/free/en/papers/zhang-2023-evaluating-performance-large-language/)** *(2023 · 109 citations)* Popular LLM benchmarks such as MMLU, C-Eval and AGIEval consist almost entirely of objective items. They reveal little about generative ability and give no intuitive, human-comparable sense of model skill. The authors address this gap with GAOKAO-Bench, a dataset of national Chinese college entrance exam (GAOKAO)… ## Co-authors here 12 of 15 co-authors with a page, the most papers together first. - [Anwen Hu](https://md.research.elamur.ai/free/en/authors/anwen-hu/) - [Chenliang Li](https://md.research.elamur.ai/free/en/authors/chenliang-li/) - [Guohai Xu](https://md.research.elamur.ai/free/en/authors/guohai-xu/) - [Haiyang Xu](https://md.research.elamur.ai/free/en/authors/haiyang-xu/) - [Ji Zhang](https://md.research.elamur.ai/free/en/authors/ji-zhang/) - [Jiabo Ye](https://md.research.elamur.ai/free/en/authors/jiabo-ye/) - [Jun Zhan](https://md.research.elamur.ai/free/en/authors/jun-zhan/) - [Junfeng Tian](https://md.research.elamur.ai/free/en/authors/junfeng-tian/) - [Ming Yan](https://md.research.elamur.ai/free/en/authors/ming-yan/) - [Peng Li](https://md.research.elamur.ai/free/en/authors/peng-li/) - [Qi Qian](https://md.research.elamur.ai/free/en/authors/qi-qian/) - [Qin Jin](https://md.research.elamur.ai/free/en/authors/qin-jin/) ## 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/): [Findings of the Association for Computational Linguistics 2023](https://md.research.elamur.ai/free/en/venues/findings/2023/) ## Cited by Papers of our library cite their works 145 times (of the 141,840 papers whose bibliographies we read); [22 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/liang-he/cited-by/). Updated 24 October 2026