Linhao Yu

According to our database, Linhao Yu authored at least 8 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models.

Linhao Yu, Yongqi Leng, Yufei Huang, Shang Wu, Haixin Liu, Xinmeng Ji, Jiahui Zhao, Jinwang Song, Tingting Cui, Xiaoqing Cheng, Tao Liu, Deyi Xiong

CoRR, 2024

OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety.

Chuang Liu, Linhao Yu, Jiaxuan Li, Renren Jin, Yufei Huang, Ling Shi, Junhui Zhang, Xinmeng Ji, Tingting Cui, Tao Liu, Jinwang Song, Hongying Zan, Sun Li, Deyi Xiong

CoRR, 2024

Identifying Multiple Personalities in Large Language Models with External Evaluation.

Xiaoyang Song, Yuta Adachi, Jessie Feng, Mouwei Lin, Linhao Yu, Frank Li, Akshat Gupta, Gopala Anumanchipalli, Simerjot Kaur

CoRR, 2024

LFED: A Literary Fiction Evaluation Dataset for Large Language Models.

Linhao Yu, Qun Liu, Deyi Xiong

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models.

Linhao Yu, Yongqi Leng, Yufei Huang, Shang Wu, Haixin Liu, Xinmeng Ji, Jiahui Zhao, Jinwang Song, Tingting Cui, Xiaoqing Cheng, Liutao Liutao, Deyi Xiong

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Evaluating Large Language Models: A Comprehensive Survey.

Zishan Guo, Renren Jin, Chuang Liu, Yufei Huang, Dan Shi, Supryadi, Linhao Yu, Yan Liu, Jiaxuan Li, Bojian Xiong, Deyi Xiong

CoRR, 2023

M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models.

Chuang Liu, Renren Jin, Yuqi Ren, Linhao Yu, Tianyu Dong, Xiaohan Peng, Shuting Zhang, Jianxiang Peng, Peiyi Zhang, Qingqing Lyu, Xiaowen Su, Qun Liu, Deyi Xiong

CoRR, 2023

CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types.

Zishan Guo, Linhao Yu, Minghui Xu, Renren Jin, Deyi Xiong

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023