--- title: "Tao Ji — author profile and papers · Dependency parsing" description: "Tao Ji: 2 papers on Elamur Research (2019–2025), h-index 15 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/tao-ji/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tao-ji/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tao Ji # Tao Ji Tao Ji has 2 papers in our library, in 2019–2025, most of them on [Dependency parsing](https://md.research.elamur.ai/free/en/topics/dependency-parsing/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Caishuang Huang](https://md.research.elamur.ai/free/en/authors/caishuang-huang/), [Junjie Ye](https://md.research.elamur.ai/free/en/authors/junjie-ye/), [Man Lan](https://md.research.elamur.ai/free/en/authors/man-lan/). 2 papers in our library · 2019–2025 [OpenAlex](https://openalex.org/A5101794864) · [ORCID](https://orcid.org/0000-0002-7671-5921) · [**h-index 15**](https://openalex.org/authors/A5101794864) · [96 works](https://openalex.org/works?filter=author.id:A5101794864) · [816 citations](https://openalex.org/works?filter=author.id:A5101794864&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tao-ji/#papers) · [🔗 Cited 143 times in our library](https://md.research.elamur.ai/free/en/authors/tao-ji/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6460](https://md.research.elamur.ai/free/en/paper-stars/page/65/#star-6460) 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=Tao+Ji) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tao+Ji) · [dblp](https://dblp.org/search?q=Tao+Ji) · [ACL Anthology](https://aclanthology.org/search/?q=Tao+Ji) ## Affiliations [🎓**East China Normal University** Shanghai · China 2011–2023 · 14 papers](https://md.research.elamur.ai/free/en/universities/east-china-normal-university/) · [🎓**Nanyang Technological University** Singapore · Singapore 2004–2008 · 13 papers](https://md.research.elamur.ai/free/en/universities/nanyang-technological-university/) · [🎓**Fudan University** Shanghai · China 2024–2025 · 12 papers](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🎓**National University of Defense Technology** Changsha · China 2015–2022 · 11 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🎓**Weifang University** Weifang · China 2006–2018 · 9 papers](https://ror.org/01frp7483) · [🎓**Renmin University of China** Beijing · China 2021–2025 · 5 papersEmployment](https://md.research.elamur.ai/free/en/universities/renmin-university-of-china/) · [🔬**State Key Laboratory of Estuarine and Coastal Research** Shanghai 2011–2014 · 4 papers](https://ror.org/04d0j0m16) · [🎓**Anhui Institute of Information Technology** Wuhu · China 2022–2024 · 2 papers](https://ror.org/04mw2ty13) · [🎓**Sichuan Vocational College of Chemical Technology** Luzhou · China 2023 · 2 papers](https://ror.org/03afqjf97) · [🏢**State Grid Corporation of China** Beijing · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/state-grid-corporation-of-china/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 15 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 · 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/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Control and Systems Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/control-and-systems-engineering/) 🧭 Topics 2 Research subjects and languages the work is about.[Dependency parsing · 1 work](https://md.research.elamur.ai/free/en/topics/dependency-parsing/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/tao-ji/year/2025/) ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/tao-ji/year/2019/) ## Papers The most cited first (OpenAlex and our library). 1. **[Graph-based Dependency Parsing with Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/ji-2019-graph-based-dependency-parsing-graph/)** *(2019 · 94 citations)* Graph-based dependency parsers score every possible head–dependent pair and then decode a tree. Their accuracy depends heavily on how each word is represented. Earlier encoders, such as BiLSTMs and the biaffine parser of Dozat and Manning (2017), mostly capture first-order parent–child information. Ji, Wu and Lan add… 2. **[ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios](https://md.research.elamur.ai/free/en/papers/ye-2025-tooleyes-fine-grained-evaluation-tool/)** *(2025 · 35 citations)* Most benchmarks for tool use by large language models only check whether a model picks the expected API. That approach works only when correct answers can be fixed in advance, and it reveals little about the skills behind successful tool use. ToolEyes addresses both gaps. The authors define seven realistic scenarios… ## All works 4 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. **[Graph-based Dependency Parsing with Graph Neural Networks](https://md.research.elamur.ai/free/en/papers/ji-2019-graph-based-dependency-parsing-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tao Ji, Yuanbin Wu, Man Lan*2019 · 94 citations* 2. **[Secrets of RLHF in Large Language Models Part II: Reward Modeling ↗](https://arxiv.org/abs/2401.06080) arXiv:2401.06080 · no summary yet**Binghai Wang et al.*2024 · 72 citations* 3. **[ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios](https://md.research.elamur.ai/free/en/papers/ye-2025-tooleyes-fine-grained-evaluation-tool/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Junjie Ye, Guanyu Li, SongYang Gao, et al.*2025 · 35 citations* 4. **[StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ↗](https://aclanthology.org/2024.acl-long.251/) Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Shihan Dou et al.*2024 · 32 citations* ## Co-authors here 11 co-authors with a page, the most papers together first. - [Caishuang Huang](https://md.research.elamur.ai/free/en/authors/caishuang-huang/) - [Junjie Ye](https://md.research.elamur.ai/free/en/authors/junjie-ye/) - [Man Lan](https://md.research.elamur.ai/free/en/authors/man-lan/) - [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) - [Shihan Dou](https://md.research.elamur.ai/free/en/authors/shihan-dou/) - [SongYang Gao](https://md.research.elamur.ai/free/en/authors/songyang-gao/) - [Tao Gui](https://md.research.elamur.ai/free/en/authors/tao-gui/) - [Xiaoran Fan](https://md.research.elamur.ai/free/en/authors/xiaoran-fan/) - [Xuanjing Huang](https://md.research.elamur.ai/free/en/authors/xuanjing-huang/) - [Yilong Wu](https://md.research.elamur.ai/free/en/authors/yilong-wu/) - [Yuanbin Wu](https://md.research.elamur.ai/free/en/authors/yuanbin-wu/) ## 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/) ×2: [ACL 2019](https://md.research.elamur.ai/free/en/venues/acl/2019/) - [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/) ## Cited by Papers of our library cite their works 143 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/tao-ji/cited-by/). Updated 1 November 2026