Ling Shi

According to our database, Ling Shi authored at least 11 papers between 2024 and 2026.

Collaborative distances:

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

2026

From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language Models.

Ling Shi, Xinwei Wu, Xiaohu Zhao, Hao Wang, Heng Liu, Yangyang Liu, Linlong Xu, Longyue Wang, Deyi Xiong, Weihua Luo

CoRR, April, 2026

DEP: A Decentralized Large Language Model Evaluation Protocol.

Jianxiang Peng, Junhao Li, Hongxiang Wang, Haocheng Lyu, Hui Guo, Siyi Hao, Zhen Wang, Chuang Liu, Shaowei Zhang, Bojian Xiong, Yue Chen, Zhuowen Han, Ling Shi, Tianyu Dong, Juesi Xiao, Lei Yang, Yuqi Ren, Deyi Xiong

CoRR, March, 2026

2025

Advancing Large Language Models for Tibetan with Curated Data and Continual Pre-Training.

Leiyu Pan, Bojian Xiong, Lei Yang, Renren Jin, Shaowei Zhang, Yue Chen, Ling Shi, Jiang Zhou, Junru Wu, Zhen Wang, Jianxiang Peng, Juesi Xiao, Tianyu Dong, Zhuowen Han, Zhuo Chen, Yuqi Ren, Deyi Xiong

CoRR, July, 2025

ProBench: Benchmarking Large Language Models in Competitive Programming.

Lei Yang, Renren Jin, Ling Shi, Jianxiang Peng, Yue Chen, Deyi Xiong

CoRR, February, 2025

Think-Search-Patch: A Retrieval-Augmented Reasoning Framework for Repository-Level Code Repair.

Bojian Xiong, Yikun Lei, Xikai Liu, Shaowei Zhang, Pengyun Zhu, Yan Liu, Yongqi Leng, Ling Shi, Meizhi Zhong, Yurong Zhang, Yan Gao, Yi Wu, Yao Hu, Deyi Xiong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

DiplomacyAgent: Do LLMs Balance Interests and Ethical Principles in International Events?

Jianxiang Peng, Ling Shi, Xinwei Wu, Hanwen Zhang, Fujiang Liu, Haocheng Lyu, Deyi Xiong

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CRiskEval: A Chinese Multi-Level Risk Evaluation Benchmark Dataset for Large Language Models.

Ling Shi, Deyi Xiong

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria.

Yongqi Leng, Renren Jin, Yue Chen, Zhuowen Han, Ling Shi, Jianxiang Peng, Lei Yang, Juesi Xiao, Deyi Xiong

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Large Language Model Safety: A Holistic Survey.

Dan Shi, Tianhao Shen, Yufei Huang, Zhigen Li, Yongqi Leng, Renren Jin, Chuang Liu, Xinwei Wu, Zishan Guo, Linhao Yu, Ling Shi, Bojian Jiang, Deyi Xiong

CoRR, 2024

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data.

Haoran Sun, Renren Jin, Shaoyang Xu, Leiyu Pan, Supryadi, Menglong Cui, Jiangcun Du, Yikun Lei, Lei Yang, Ling Shi, Juesi Xiao, Shaolin Zhu, Deyi Xiong

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024