---
title: "Kun Kuang · Zhejiang University — author profile and papers"
description: "Kun Kuang, Zhejiang University: 2 papers on Elamur Research (2025–2026), h-index 30 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/kun-kuang/"
---
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# Kun Kuang

Kun Kuang has 2 papers in our library, in 2025–2026, most of them on [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/); often with [Ang Li](https://md.research.elamur.ai/free/en/authors/ang-li/), [Fei Qing Wu](https://md.research.elamur.ai/free/en/authors/fei-qing-wu/), [Ji Zhang](https://md.research.elamur.ai/free/en/authors/ji-zhang/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5041727387) · [ORCID](https://orcid.org/0000-0001-7024-9790) · [Wikidata](https://www.wikidata.org/wiki/Q130804492) · [**h-index 30**](https://openalex.org/authors/A5041727387) · [254 works](https://openalex.org/works?filter=author.id:A5041727387) · [3,192 citations](https://openalex.org/works?filter=author.id:A5041727387&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/kun-kuang/#papers) · [🔗 Cited 245 times in our library](https://md.research.elamur.ai/free/en/authors/kun-kuang/cited-by/) · [16 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9373](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9373)

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

## Affiliations

[🎓**Zhejiang University** Hangzhou · China 2019–2026 · 214 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**Tsinghua University** Beijing · China 2016–2022 · 11 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2022 · 3 papers](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/) · [🎓**Peking University** Beijing · China 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/peking-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 8 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/) · [Computer Science Applications · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-science-applications/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [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/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 3 Research subjects and languages the work is about.[Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/kun-kuang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/kun-kuang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents](https://md.research.elamur.ai/free/en/papers/wu-2025-embracing-imperfection-simulating-students-diverse/)** *(2025 · 13 citations)* LLM agents are increasingly used to role-play learners, for example to test tutoring systems or teaching strategies.
2. **[LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation](https://md.research.elamur.ai/free/en/papers/yuan-2026-lecode-benchmark-dataset-interactive-legal/)** *(2026 · 3 citations)* LeCoDe addresses the difficulty of evaluating LLMs as legal consultants. Real consultations involve users with little legal knowledge who give vague, incomplete descriptions, so a competent expert must ask targeted follow-up questions before giving advice. Prior resources are mostly single-turn QA pairs or…

## All works

18 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. **[BertGCN: Transductive Text Classification by Combining GNN and BERT ↗](https://aclanthology.org/2021.findings-acl.126/) Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yet**Yuxiao Lin et al.*2021 · 240 citations*
2. **[Disentangled Graph Convolutional Networks ↗](https://openalex.org/W2945420892) International Conference on Machine Learning · no summary yet**Jianxin Ma et al.*2019 · 123 citations*
3. **[De-Biased Court's View Generation with Causality ↗](https://aclanthology.org/2020.emnlp-main.56/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Yiquan Wu et al.*2020 · 117 citations*
4. **[Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration ↗](https://aclanthology.org/2023.emnlp-main.740/) Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yiquan Wu et al.*2023 · 104 citations*
5. **[Judgment Prediction via Injecting Legal Knowledge into Neural Networks ↗](https://doi.org/10.1609/aaai.v35i14.17522) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Leilei Gan et al.*2021 · 86 citations*
6. **[Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework ↗](https://aclanthology.org/2022.emnlp-main.316/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Yiquan Wu et al.*2022 · 61 citations*
7. **[Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction ↗](https://aclanthology.org/2023.findings-emnlp.814/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Leilei Gan et al.*2023 · 22 citations*
8. **[Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification ↗](https://aclanthology.org/2025.naacl-long.355/) Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Ang Li et al.*2025 · 14 citations*
9. **[Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents](https://md.research.elamur.ai/free/en/papers/wu-2025-embracing-imperfection-simulating-students-diverse/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tao Wu, Jingyuan Chen, Wang Lin, et al.*2025 · 13 citations*
10. **[Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge ↗](https://aclanthology.org/2024.findings-naacl.177/) Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yet**Yifei Liu et al.*2024 · 12 citations*
11. **[Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond ↗](https://aclanthology.org/2025.findings-emnlp.742/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Yinghao Hu et al.*2025 · 8 citations*
12. **[UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever ↗](https://aclanthology.org/2025.acl-long.584/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ang Li et al.*2025 · 8 citations*
13. **[LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation](https://md.research.elamur.ai/free/en/papers/yuan-2026-lecode-benchmark-dataset-interactive-legal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weikang Yuan, Kaisong Song, Zhuoren Jiang, et al.*2026 · 3 citations*
14. **[Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples ↗](https://aclanthology.org/2022.emnlp-main.370/) Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yet**Chengyuan Liu et al.*2022 · 2 citations*
15. **[PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs ↗](https://arxiv.org/abs/2604.17543) arXiv:2604.17543 · no summary yet**Yuting Huang et al.*2026 · 1 citation*
16. **[WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report ↗](https://arxiv.org/abs/2604.06737) arXiv:2604.06737 · no summary yet**Yiquan Wu et al.*2026 · 1 citation*
17. **[ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation ↗](https://aclanthology.org/2025.findings-emnlp.658/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Siying Zhou et al.*2025 · 1 citation*
18. **[Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction ↗](https://aclanthology.org/2026.acl-long.983/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tao Wu et al.*2026*

## Co-authors here

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

- [Ang Li](https://md.research.elamur.ai/free/en/authors/ang-li/)
- [Fei Qing Wu](https://md.research.elamur.ai/free/en/authors/fei-qing-wu/)
- [Ji Zhang](https://md.research.elamur.ai/free/en/authors/ji-zhang/)
- [Junjie Cao](https://md.research.elamur.ai/free/en/authors/junjie-cao/)
- [Kaisong Song](https://md.research.elamur.ai/free/en/authors/kaisong-song/)
- [Mengze Li](https://md.research.elamur.ai/free/en/authors/mengze-li/)
- [Yujie Zhang](https://md.research.elamur.ai/free/en/authors/yujie-zhang/)

## 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/) ×5: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing ×4
- Findings of the Association for Computational Linguistics: EMNLP 2023 ×3
- Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Findings of the Association for Computational Linguistics: NAACL 2024
- International Conference on Machine Learning
- Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
- Proceedings of the AAAI Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 245 times (of the 149,439 papers whose bibliographies we read); [21 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/kun-kuang/cited-by/).

Updated 1 November 2026