@article{li2026,
title = {DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation},
author = {Zhang, Li and Shi, Yuzhen and HU, Yiran and Jingwen, Zhang and Lv, Wenbo and Ma, Yubo and Wang, Wei and Shi, Rongyao and Qiu, Yuanyang and Xinran, Xu and Qi, Yuemeng and Miao, Linlin and Savelka, Jaromir and Liu, Yun and Ashley, Kevin D. and Zhao, Bing and Wei, HU and Qu, Lin},
journal = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
year = {2026},
month = {Jan},
doi = {10.18653/2026.emnlp-main.1403},
url = {https://doi.org/10.18653/2026.emnlp-main.1403},
}
Zhang, Li et al. (2026). DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. https://doi.org/10.18653/2026.emnlp-main.1403
Zhang, Li, et al.. "DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, 2026, https://doi.org/10.18653/2026.emnlp-main.1403.
Zhang, Li, et al.. "DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing (2026). https://doi.org/10.18653/2026.emnlp-main.1403
Zhang, Li et al., 2026. DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation. Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing. Available at: <https://doi.org/10.18653/2026.emnlp-main.1403>.
TY - JOUR
TI - DLawBench: Evaluating LLMs Through Multi-Turn Legal Consultation
AU - Zhang, Li
AU - Shi, Yuzhen
AU - HU, Yiran
AU - Jingwen, Zhang
AU - Lv, Wenbo
AU - Ma, Yubo
AU - Wang, Wei
AU - Shi, Rongyao
AU - Qiu, Yuanyang
AU - Xinran, Xu
AU - Qi, Yuemeng
AU - Miao, Linlin
AU - Savelka, Jaromir
AU - Liu, Yun
AU - Ashley, Kevin D.
AU - Zhao, Bing
AU - Wei, HU
AU - Qu, Lin
PY - 2026
JO - Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
DO - 10.18653/2026.emnlp-main.1403
UR - https://doi.org/10.18653/2026.emnlp-main.1403
ER -