| 2026 | ACL | ERRV: Eliciting Efficient Reasoning through Reasoning Vectors for Policy Optimization in Large Language Models. | Zhuowen Han, Lei Yang, Renren Jin, Dan Shi, Chenxi Sun, Deyi Xiong |
| 2026 | ACL | Revisiting Entropy in Reinforcement Learning for Large Reasoning Models. | Renren Jin, Pengzhi Gao, Yuqi Ren, Zhuowen Han, Tongxuan Zhang, Wuwei Huang, Wei Liu, Jian Luan, Deyi Xiong |
| 2026 | ACL | Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models. | Dan Shi, Zhuowen Han, Simon Ostermann, Renren Jin, Josef van Genabith, Deyi Xiong |
| 2026 | ACL | Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching. | Dan Shi, Renren Jin, Zhuowen Han, Yuqi Ren, Xinwei Wu, Zhigen Li, Deyi Xiong |
| 2026 | ACL | From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan. | Lei Yang, Leiyu Pan, Bojian Xiong, 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 |
| 2025 | ACL | 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 |
| 2025 | COLING | CONTRANS: Weak-to-Strong Alignment Engineering via Concept Transplantation. | Weilong Dong, Xinwei Wu, Renren Jin, Shaoyang Xu, Deyi Xiong |
| 2025 | COLING | 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 |
| 2025 | COLING | Do Large Language Models Mirror Cognitive Language Processing? | Yuqi Ren, Renren Jin, Tongxuan Zhang, Deyi Xiong |
| 2025 | EMNLP | Towards a Unified Paradigm of Concept Editing in Large Language Models. | Zhuowen Han, Xinwei Wu, Dan Shi, Renren Jin, Deyi Xiong |
| 2025 | WWW | Optimize Quantization for Large Language Models via Progressive Training. | Jiangcun Du, Renren Jin, Wuwei Huang, Wei Liu, Jian Luan, Deyi Xiong |
| 2024 | ACL | 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 |
| 2024 | ACL | A Comprehensive Evaluation of Quantization Strategies for Large Language Models. | Renren Jin, Jiangcun Du, Wuwei Huang, Wei Liu, Jian Luan, Bin Wang, Deyi Xiong |
| 2024 | COLING | LHMKE: A Large-scale Holistic Multi-subject Knowledge Evaluation Benchmark for Chinese Large Language Models. | Chuang Liu, Renren Jin, Yuqi Ren, Deyi Xiong |
| 2024 | EMNLP | 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 |
| 2023 | EMNLP | CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types. | Zishan Guo, Linhao Yu, Minghui Xu, Renren Jin, Deyi Xiong |
| 2023 | ICASSP | Joint Training and Decoding for Multilingual End-to-End Simultaneous Speech Translation. | Wuwei Huang, Renren Jin, Wen Zhang, Jian Luan, Bin Wang, Deyi Xiong |
| 2022 | COLING | Informative Language Representation Learning for Massively Multilingual Neural Machine Translation. | Renren Jin, Deyi Xiong |