--- title: "Xiangrong Zeng — author profile and papers — Elamur Research" description: "Xiangrong Zeng: 4 papers on Elamur Research (2018–2026), h-index 9 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/xiangrong-zeng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xiangrong-zeng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xiangrong Zeng # Xiangrong Zeng Xiangrong Zeng has 4 papers in our library, in 2018–2026, most of them on [Information extraction](https://md.research.elamur.ai/free/en/topics/information-extraction/); often with [Chengfeng Dou](https://md.research.elamur.ai/free/en/authors/chengfeng-dou/), [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/), [Fei Li](https://md.research.elamur.ai/free/en/authors/fei-li/). 4 papers in our library · 2018–2026 [OpenAlex](https://openalex.org/A5102899394) · [ORCID](https://orcid.org/0000-0002-1424-9523) · [Wikidata](https://www.wikidata.org/wiki/Q130881518) · [**h-index 9**](https://openalex.org/authors/A5102899394) · [24 works](https://openalex.org/works?filter=author.id:A5102899394) · [1,201 citations](https://openalex.org/works?filter=author.id:A5102899394&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/xiangrong-zeng/#papers) · [🔗 Cited 550 times in our library](https://md.research.elamur.ai/free/en/authors/xiangrong-zeng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #3263](https://md.research.elamur.ai/free/en/paper-stars/page/33/#star-3263) 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=Xiangrong+Zeng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xiangrong+Zeng) · [dblp](https://dblp.org/search?q=Xiangrong+Zeng) · [ACL Anthology](https://aclanthology.org/search/?q=Xiangrong+Zeng) ## Affiliations [🎓**National University of Defense Technology** Changsha · China 2009–2023 · 8 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**China Agricultural University** Beijing · China 2024–2025 · 4 papers](https://ror.org/04v3ywz14) · [🏛️**Chinese Academy of Sciences** Beijing · China 2017–2019 · 3 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2017–2019 · 3 papers](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2017–2019 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 4 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/) · [Medicine · 3 works](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Informatics · 3 works](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) 🧭 Topics 1 Research subjects and languages the work is about.[Information extraction · 1 work](https://md.research.elamur.ai/free/en/topics/information-extraction/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Knowledge graph · 1 work](https://md.research.elamur.ai/free/en/concepts/knowledge-graph/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/xiangrong-zeng/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xiangrong-zeng/year/2025/) ### 2010s [**2018** 1 paper](https://md.research.elamur.ai/free/en/authors/xiangrong-zeng/year/2018/) ## Papers The most cited first (OpenAlex and our library). 1. **[Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/)** *(2018 · 612 citations)* The paper addresses joint extraction of relational triplets (a relation plus a head and a tail entity) from raw sentences in which several triplets may share entities. 2. **[Baichuan-M1: Pushing the Medical Capability of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-baichuan-m1-pushing-medical/)** *(2025 · 24 citations)* General-purpose LLMs often lack depth in medicine, where knowledge is specialized and good training data is scarce. 3. **[Baichuan-M2: Scaling Medical Capability with Large Verifier System](https://md.research.elamur.ai/free/en/papers/team-2025-m2-baichuan-m2-scaling-medical/)** *(2025 · 19 citations)* Medical LLMs often do well on exam-style tests such as USMLE but less well in real consultations, where information comes in gradually over many turns and communication matters. 4. **[Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-Making](https://md.research.elamur.ai/free/en/papers/team-2026-m3-baichuan-m3-modeling-clinical/)** *(2026 · 2 citations)* Medical LLMs score well on static benchmarks but often stall in real consultations: they rarely ask for missing facts, and they may hallucinate when filling gaps. ## All works 5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them. 1. **[Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiangrong Zeng, Daojian Zeng, Shizhu He, et al.*2018 · 612 citations* 2. **[Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning ↗](https://aclanthology.org/D19-1035/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Xiangrong Zeng et al.*2019 · 169 citations* 3. [**Baichuan-M1: Pushing the Medical Capability of Large Language Models arXiv:2502.12671**Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-baichuan-m1-pushing-medical/) 4. [**Baichuan-M2: Scaling Medical Capability with Large Verifier System arXiv:2509.02208**Chengfeng Dou, Chong Liu, Fan Yang, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/team-2025-m2-baichuan-m2-scaling-medical/) 5. [**Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-Making arXiv:2602.06570**Chengfeng Dou, Fan Yang, Fei Li, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/team-2026-m3-baichuan-m3-modeling-clinical/) ## Co-authors here 12 of 20 co-authors with a page, the most papers together first. - [Chengfeng Dou](https://md.research.elamur.ai/free/en/authors/chengfeng-dou/) ×2 - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) ×2 - [Fei Li](https://md.research.elamur.ai/free/en/authors/fei-li/) ×2 - [Jiyuan Jia](https://md.research.elamur.ai/free/en/authors/jiyuan-jia/) ×2 - [Qiang Ju](https://md.research.elamur.ai/free/en/authors/qiang-ju/) ×2 - [Shuai Wang](https://md.research.elamur.ai/free/en/authors/shuai-wang/) ×2 - [Tianpeng Li](https://md.research.elamur.ai/free/en/authors/tianpeng-li/) ×2 - [Yijie Zhou](https://md.research.elamur.ai/free/en/authors/yijie-zhou/) ×2 - [Bingning Wang](https://md.research.elamur.ai/free/en/authors/bingning-wang/) - [Chong Liu](https://md.research.elamur.ai/free/en/authors/chong-liu/) - [Da Pan](https://md.research.elamur.ai/free/en/authors/da-pan/) - [Daojian Zeng](https://md.research.elamur.ai/free/en/authors/daojian-zeng/) ## 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/): [ACL 2018](https://md.research.elamur.ai/free/en/venues/acl/2018/) - Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ## Cited by Papers of our library cite their works 550 times (of the 149,439 papers whose bibliographies we read); [105 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiangrong-zeng/cited-by/). Updated 31 October 2026