Kun Kuang
Kun Kuang has 2 papers in our library, in 2025–2026, most of them on Dialogue systems, Evaluation & benchmarks, Legal AI; often with Ang Li, Fei Qing Wu, Ji Zhang.
OpenAlex · ORCID · Wikidata · h-index 30 · 254 works · 3,192 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 245 times in our library · 16 more in our library without a page yet · ⭐ Paper Stars ranking: #9373
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Science Applications · 1 workInformation Systems · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workPolitical Science and International Relations · 1 workSocial Sciences · 1 work
🧭 Topics 3Research subjects and languages the work is about.Dialogue systems · 1 workEvaluation & benchmarks · 1 workLegal AI · 1 work
Works by year
2020s
Papers
- Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents (2025 · 13 citations)
LLM agents are increasingly used to role-play learners, for example to test tutoring systems or teaching strategies. - LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue Evaluation (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
- BertGCN: Transductive Text Classification by Combining GNN and BERT ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetYuxiao Lin et al.2021 · 240 citations
- Disentangled Graph Convolutional Networks ↗International Conference on Machine Learning · no summary yetJianxin Ma et al.2019 · 123 citations
- De-Biased Court's View Generation with Causality ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetYiquan Wu et al.2020 · 117 citations
- Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetYiquan Wu et al.2023 · 104 citations
- Judgment Prediction via Injecting Legal Knowledge into Neural Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetLeilei Gan et al.2021 · 86 citations
- Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetYiquan Wu et al.2022 · 61 citations
- Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetLeilei Gan et al.2023 · 22 citations
- Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification ↗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 yetAng Li et al.2025 · 14 citations
- Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Wu, Jingyuan Chen, Wang Lin, et al.2025 · 13 citations
- Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge ↗Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yetYifei Liu et al.2024 · 12 citations
- Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetYinghao Hu et al.2025 · 8 citations
- UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetAng Li et al.2025 · 8 citations
- LeCoDe: A Benchmark Dataset for Interactive Legal Consultation Dialogue EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Weikang Yuan, Kaisong Song, Zhuoren Jiang, et al.2026 · 3 citations
- Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetChengyuan Liu et al.2022 · 2 citations
- PoliLegalLM: A Technical Report on a Large Language Model for Political and Legal Affairs ↗arXiv:2604.17543 · no summary yetYuting Huang et al.2026 · 1 citation
- WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report ↗arXiv:2604.06737 · no summary yetYiquan Wu et al.2026 · 1 citation
- ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation ↗Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yetSiying Zhou et al.2025 · 1 citation
- Tailoring Diagnostic Modeling to Individual Learners: Personalized Distractor Generation via MCTS-Guided Reasoning Reconstruction ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTao Wu et al.2026
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×5: ACL 2026, 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
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