---
title: "Jidong Ge · Nanjing University — author profile and papers"
description: "Jidong Ge, Nanjing University: 2 papers on Elamur Research (2023–2024), h-index 25 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/jidong-ge/"
---
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# Jidong Ge

Jidong Ge has 2 papers in our library, in 2023–2024, most of them on [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/); often with [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/), [Fengzhe Zhou](https://md.research.elamur.ai/free/en/authors/fengzhe-zhou/), [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5075214885) · [ORCID](https://orcid.org/0000-0003-1773-0942) · [Wikidata](https://www.wikidata.org/wiki/Q130803643) · [**h-index 25**](https://openalex.org/authors/A5075214885) · [163 works](https://openalex.org/works?filter=author.id:A5075214885) · [2,356 citations](https://openalex.org/works?filter=author.id:A5075214885&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jidong-ge/#papers) · [🔗 Cited 230 times in our library](https://md.research.elamur.ai/free/en/authors/jidong-ge/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5736](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5736)

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=Jidong+Ge) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jidong+Ge) · [dblp](https://dblp.org/search?q=Jidong+Ge) · [ACL Anthology](https://aclanthology.org/search/?q=Jidong+Ge)

## Affiliations

[🎓**Nanjing University** Nanjing · China 2005–2026 · 158 papersEducation · Ph.D/Dr., Department of Computer SciencesEmployment · Associate Professor, School of Software*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2015–2024 · 6 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🔬**State Key Laboratory of Networking and Switching Technology** Beijing · China 2015–2024 · 6 papers](https://md.research.elamur.ai/free/en/labs/state-key-laboratory-of-networking-and-switching-technology/) · [🔬**State Key Laboratory of New Technology of Computer Software** Nanjing · China 2011–2017 · 4 papers](https://ror.org/04xqp3a64) · [🎓**Nanjing University of Science and Technology** Nanjing · China 2014–2015 · 4 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-science-and-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## 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).[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/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [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/) · [Law · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Political Science and International Relations · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/)

🧭 Topics 1 Research subjects and languages the work is about.[Legal AI · 2 works](https://md.research.elamur.ai/free/en/topics/legal-ai/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jidong-ge/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jidong-ge/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[LawBench: Benchmarking Legal Knowledge of Large Language Models](https://md.research.elamur.ai/free/en/papers/fei-2023-lawbench-benchmarking-legal-knowledge-large/)** *(2023 · 186 citations)* Existing legal benchmarks for LLMs mostly target English-language common-law systems (US, EU) or bar-exam-style questions.
2. **[InternLM-Law: An Open Source Chinese Legal Large Language Model](https://md.research.elamur.ai/free/en/papers/fei-2024-internlm-law-open-source/)** *(2024 · 9 citations)* General-purpose LLMs often fail on Chinese legal questions, and earlier Chinese legal models were narrow, consultation-oriented, and built on older backbones.

## All works

8 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. [**LawBench: Benchmarking Legal Knowledge of Large Language Models arXiv:2309.16289**Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, et al.*2023 · 186 citations*](https://md.research.elamur.ai/free/en/papers/fei-2023-lawbench-benchmarking-legal-knowledge-large/)
2. **[LawBench: Benchmarking Legal Knowledge of Large Language Models ↗](https://aclanthology.org/2024.emnlp-main.452/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zhiwei Fei et al.*2024 · 103 citations*
3. **[Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer ↗](https://arxiv.org/abs/2112.06370) arXiv:2112.06370 · no summary yet**Yunyun Huang et al.*2021 · 28 citations*
4. **[Learning Fine-grained Fact-Article Correspondence in Legal Cases ↗](https://arxiv.org/abs/2104.10726) arXiv:2104.10726 · no summary yet**Jidong Ge et al.*2021 · 19 citations*
5. **[CMDL: A Large-Scale Chinese Multi-Defendant Legal Judgment Prediction Dataset ↗](https://aclanthology.org/2024.findings-acl.351/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Wanhong Huang et al.*2024 · 14 citations*
6. [**InternLM-Law: An Open Source Chinese Legal Large Language Model arXiv:2406.14887**Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/fei-2024-internlm-law-open-source/)
7. **[LJPCheck: Functional Tests for Legal Judgment Prediction ↗](https://aclanthology.org/2024.findings-acl.350/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Yuan Zhang et al.*2024 · 4 citations*
8. **[Judicial Intelligent Assistant System: Extracting Events from Divorce Cases to Detect Disputes for the Judge ↗](https://arxiv.org/abs/2303.16751) arXiv:2303.16751 · no summary yet**Yuan Zhang et al.*2023*

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Dawei Zhu](https://md.research.elamur.ai/free/en/authors/dawei-zhu/) ×2
- [Fengzhe Zhou](https://md.research.elamur.ai/free/en/authors/fengzhe-zhou/) ×2
- [Kai Chen](https://md.research.elamur.ai/free/en/authors/kai-chen/) ×2
- [Songyang Zhang](https://md.research.elamur.ai/free/en/authors/songyang-zhang/) ×2
- [Xiaoyu Shen](https://md.research.elamur.ai/free/en/authors/xiaoyu-shen/) ×2
- [Zhiwei Fei](https://md.research.elamur.ai/free/en/authors/zhiwei-fei/) ×2
- [Dahua Lin](https://md.research.elamur.ai/free/en/authors/dahua-lin/)
- [Maosong Cao](https://md.research.elamur.ai/free/en/authors/maosong-cao/)
- [Wenwei Zhang](https://md.research.elamur.ai/free/en/authors/wenwei-zhang/)
- [Xiao Wang](https://md.research.elamur.ai/free/en/authors/xiao-wang/)
- [Yining Li](https://md.research.elamur.ai/free/en/authors/yining-li/)

## 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: ACL 2024 ×2
- Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

## Cited by

Papers of our library cite their works 230 times (of the 149,439 papers whose bibliographies we read); [33 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jidong-ge/cited-by/).

Updated 30 October 2026
