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2026

Conference Publication

ReaKase-8B: legal case retrieval via knowledge and reasoning representations with LLMs

Tang, Yanran, Qiu, Ruihong, Li, Xue and Huang, Zi (2026). ReaKase-8B: legal case retrieval via knowledge and reasoning representations with LLMs. 36th Australasian Database Conference, ADC 2025, Sydney, NSW, Australia and Bali, Indonesia, 4-6 December 2025. Heidelberg, Germany: Springer. doi: 10.1007/978-981-95-6196-4_22

ReaKase-8B: legal case retrieval via knowledge and reasoning representations with LLMs

2024

Conference Publication

CaseLink: inductive graph learning for legal case retrieval

Tang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2024). CaseLink: inductive graph learning for legal case retrieval. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657693

CaseLink: inductive graph learning for legal case retrieval

2024

Conference Publication

CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs

Tang, Yanran, Qiu, Ruihong, Liu, Yilun, Li, Xue and Huang, Zi (2024). CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24 - 28 March 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56060-6_6

CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs

2023

Conference Publication

Prompt-based effective input reformulation for legal case retrieval

Tang, Yanran, Qiu, Ruihong and Li, Xue (2023). Prompt-based effective input reformulation for legal case retrieval. 34th Australasian Database Conference, Melbourne, VIC Australia, 1-3 November 2023. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-47843-7_7

Prompt-based effective input reformulation for legal case retrieval