Renren Jin

According to our database, Renren Jin authored at least 25 papers between 2022 and 2025.

Collaborative distances:

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

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

TaP: A Taxonomy-Guided Framework for Automated and Scalable Preference Data Generation.

Renren Jin, Tianhao Shen, Xinwei Wu, Dan Shi, Haoran Sun, Wuwei Huang, Quandong Wang, Wei Liu, Jian Luan, Bin Wang, Deyi Xiong

CoRR, June, 2025

ProBench: Benchmarking Large Language Models in Competitive Programming.

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

CoRR, February, 2025

Optimize Quantization for Large Language Models via Progressive Training.

Jiangcun Du, Renren Jin, Wuwei Huang, Wei Liu, Jian Luan, Deyi Xiong

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Do Large Language Models Mirror Cognitive Language Processing?

Yuqi Ren, Renren Jin, Tongxuan Zhang, Deyi Xiong

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Empirical Study on Data Attributes Insufficiency of Evaluation Benchmarks for LLMs.

Chuang Liu, Renren Jin, Zheng Yao, Tianyi Li, Liang Cheng, Mark Steedman, Deyi Xiong

Proceedings of the 31st International Conference on Computational Linguistics, 2025

CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation.

Weilong Dong, Xinwei Wu, Renren Jin, Shaoyang Xu, Deyi Xiong

Proceedings of the 31st International Conference on Computational Linguistics, 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

Multilingual Large Language Models: A Systematic Survey.

Shaolin Zhu, Supryadi, Shaoyang Xu, Haoran Sun, Leiyu Pan, Menglong Cui, Jiangcun Du, Renren Jin, António Branco, 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

FineMath: A Fine-Grained Mathematical Evaluation Benchmark for Chinese Large Language Models.

Yan Liu, Renren Jin, Lin Shi, Zheng Yao, Deyi Xiong

CoRR, 2024

Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning.

Hang Zhou, Yehui Tang, Haochen Qin, Yujie Yang, Renren Jin, Deyi Xiong, Kai Han, Yunhe Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

IRCAN: Mitigating Knowledge Conflicts in LLM Generation via Identifying and Reweighting Context-Aware Neurons.

Dan Shi, Renren Jin, Tianhao Shen, Weilong Dong, Xinwei Wu, Deyi Xiong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Evaluating Chinese Large Language Models on Discipline Knowledge Acquisition via Memorization and Robustness Assessment.

Chuang Liu, Renren Jin, Mark Steedman, Deyi Xiong

Proceedings of the First Data Contamination Workshop, 2024

LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models.

Chuang Liu, Renren Jin, Yuqi Ren, Deyi Xiong

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

A Comprehensive Evaluation of Quantization Strategies for Large Language Models.

Renren Jin, Jiangcun Du, Wuwei Huang, Wei Liu, Jian Luan, Bin Wang, Deyi Xiong

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

2023

FollowEval: A Multi-Dimensional Benchmark for Assessing the Instruction-Following Capability of Large Language Models.

Yimin Jing, Renren Jin, Jiahao Hu, Huishi Qiu, Xiaohua Wang, Peng Wang, Deyi Xiong

CoRR, 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

Large Language Model Alignment: A Survey.

Tianhao Shen, Renren Jin, Yufei Huang, Chuang Liu, Weilong Dong, Zishan Guo, Xinwei Wu, Yan Liu, 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

Joint Training and Decoding for Multilingual End-to-End Simultaneous Speech Translation.

Wuwei Huang, Renren Jin, Wen Zhang, Jian Luan, Bin Wang, Deyi Xiong

Proceedings of the IEEE International Conference on Acoustics, 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

2022

Informative Language Representation Learning for Massively Multilingual Neural Machine Translation.

Renren Jin, Deyi Xiong

Proceedings of the 29th International Conference on Computational Linguistics, 2022