Yun Liu

Orcid: 0009-0009-8684-7977

Affiliations:
  • Tsinghua University, Beijing, China


According to our database1, Yun Liu authored at least 12 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions.
CoRR, January, 2026

2025
JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference.
CoRR, September, 2025

LLMs on Trial: Evaluating Judicial Fairness for Large Language Models.
CoRR, July, 2025

Pro-Judice: Aligning LLMs with Procedural Fairness in Judicial Contexts.
Proceedings of the Legal Knowledge and Information Systems, 2025

Multi - agent Cooperative Mechanisms for Legal Adjudication: The Crucial Role of Automatic Prompt Optimization.
Proceedings of the Twentieth International Conference on Artificial Intelligence and Law, 2025

EVENS: Equality versus Equity Notion Spectrum of LLMs.
Proceedings of the Twentieth International Conference on Artificial Intelligence and Law, 2025

JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

HCLeK: Hierarchical Compression of Legal Knowledge for Retrieval-Augmented Generation.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

J&H: Evaluating the Robustness of Large Language Models Under Knowledge-Injection Attacks in Legal Domain.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals.
CoRR, 2024

STARD: A Chinese Statute Retrieval Dataset Derived from Real-life Queries by Non-professionals.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
EQUALS: A Real-world Dataset for Legal Question Answering via Reading Chinese Laws.
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023


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