--- title: "Jian Jiao — author profile and papers — Elamur Research" description: "Jian Jiao, Changchun Normal University: 2 papers on Elamur Research (2023–2024), h-index 27 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/jian-jiao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jian-jiao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jian Jiao # Jian Jiao Jian Jiao has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chen Lin](https://md.research.elamur.ai/free/en/authors/chen-lin/), [Nan Duan](https://md.research.elamur.ai/free/en/authors/nan-duan/), [Weizhu Chen](https://md.research.elamur.ai/free/en/authors/weizhu-chen/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5047916298) · [ORCID](https://orcid.org/0000-0002-7988-9820) · [**h-index 27**](https://openalex.org/authors/A5047916298) · [325 works](https://openalex.org/works?filter=author.id:A5047916298) · [3,069 citations](https://openalex.org/works?filter=author.id:A5047916298&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jian-jiao/#papers) · [🔗 Cited 224 times in our library](https://md.research.elamur.ai/free/en/authors/jian-jiao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6342](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6342) 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=Jian+Jiao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jian+Jiao) · [dblp](https://dblp.org/search?q=Jian+Jiao) · [ACL Anthology](https://aclanthology.org/search/?q=Jian+Jiao) ## Affiliations [🎓**Harbin Institute of Technology** Harbin · China 2009–2026 · 232 papers*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🔬**Peng Cheng Laboratory** Shenzhen · China 2019–2026 · 103 papers*current*](https://md.research.elamur.ai/free/en/labs/peng-cheng-laboratory/) · [🎓**Changchun Normal University** Changchun · China 2022–2026 · 5 papers*current*](https://ror.org/00cbhey71) · [🎓**Xi'an Jiaotong University** Xi'an · China 2022–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) · [🎓**Beijing Information Science & Technology University** Beijing · China 2016–2026 · 2 papers*current*](https://ror.org/04xnqep60) · [🎓**Beijing Institute of Aeronautical Materials** Beijing · China 2026 · 1 paper*current*](https://ror.org/0099j7t54) · [🏢**Microsoft** Redmond · United States 2022–2024 · 15 papers](https://md.research.elamur.ai/free/en/companies/microsoft/) · [🎓**Jilin University** Changchun · China 2021–2025 · 7 papers](https://md.research.elamur.ai/free/en/universities/jilin-university/) · [🔬**Nanjing Hydraulic Research Institute** Nanjing · China 2022–2024 · 4 papers](https://ror.org/02403qw73) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 18 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jian-jiao/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jian-jiao/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators](https://md.research.elamur.ai/free/en/papers/he-2023-annollm-making-large-language-models/)** *(2023 · 152 citations)* Manually labelling data for NLP is slow and expensive. This paper asks whether GPT-3.5 models can replace crowd workers. The authors build AnnoLLM, which gives the model the same materials a human annotator would get: a task description, label definitions and labelled examples. It then adds a two-stage… 2. **[Rho-1: Not All Tokens Are What You Need](https://md.research.elamur.ai/free/en/papers/lin-2024-rho-1-all-tokens-need/)** *(2024 · 59 citations)* Standard LLM pre-training applies the next-token loss uniformly, even though filtered corpora still contain noisy, irrelevant, or already-mastered tokens. ## All works 3 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. **[PromptBERT: Improving BERT Sentence Embeddings with Prompts ↗](https://aclanthology.org/2022.emnlp-main.603/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ting Jiang et al.*2022 · 198 citations* 2. [**AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators arXiv:2303.16854**Xingwei He, Zhenghao Lin, Yeyun Gong, et al.*2023 · 152 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-annollm-making-large-language-models/) 3. [**Rho-1: Not All Tokens Are What You Need arXiv:2404.07965**Zhenghao Lin, Zhibin Gou, Yeyun Gong, et al.*2024 · 59 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-rho-1-all-tokens-need/) ## Co-authors here 11 co-authors with a page, the most papers together first. - [Chen Lin](https://md.research.elamur.ai/free/en/authors/chen-lin/) ×2 - [Nan Duan](https://md.research.elamur.ai/free/en/authors/nan-duan/) ×2 - [Weizhu Chen](https://md.research.elamur.ai/free/en/authors/weizhu-chen/) ×2 - [Yeyun Gong](https://md.research.elamur.ai/free/en/authors/yeyun-gong/) ×2 - [Zhenghao Lin](https://md.research.elamur.ai/free/en/authors/zhenghao-lin/) ×2 - [Hang Zhang](https://md.research.elamur.ai/free/en/authors/hang-zhang/) - [Ruochen Xu](https://md.research.elamur.ai/free/en/authors/ruochen-xu/) - [Xiao Liu](https://md.research.elamur.ai/free/en/authors/xiao-liu/) - [Yelong Shen](https://md.research.elamur.ai/free/en/authors/yelong-shen/) - [Yujiu Yang](https://md.research.elamur.ai/free/en/authors/yujiu-yang/) - [Zhibin Gou](https://md.research.elamur.ai/free/en/authors/zhibin-gou/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 224 times (of the 149,439 papers whose bibliographies we read); [51 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jian-jiao/cited-by/). Updated 2 November 2026