Elamur Research⌕
☰
home / authors / Kun Kuang

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.

2 papers in our library · 2025–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

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 ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetYuxiao Lin et al.2021 · 240 citations
  2. Disentangled Graph Convolutional Networks ↗International Conference on Machine Learning · no summary yetJianxin Ma et al.2019 · 123 citations
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. WisdomInterrogatory (LuWen): An Open-Source Legal Large Language Model Technical Report ↗arXiv:2604.06737 · no summary yetYiquan Wu et al.2026 · 1 citation
  15. 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
  16. 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

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/kun-kuang/