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2020 – today
- 2026
[c7]Renren Jin, Pengzhi Gao, Yuqi Ren, Zhuowen Han, Tongxuan Zhang, Wuwei Huang, Wei Liu, Jian Luan, Deyi Xiong:
Revisiting Entropy in Reinforcement Learning for Large Reasoning Models. ACL (Findings) 2026: 25300-25322- [c6]Zhuowen Han, Lei Yang, Renren Jin, Dan Shi, Chenxi Sun, Deyi Xiong:
ERRV: Eliciting Efficient Reasoning through Reasoning Vectors for Policy Optimization in Large Language Models. ACL (Findings) 2026: 28557-28570 - [c5]Dan Shi, Renren Jin, Zhuowen Han, Yuqi Ren, Xinwei Wu, Zhigen Li, Deyi Xiong:
Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability Patching. ACL (Findings) 2026: 34414-34435 - [c4]Dan Shi, Zhuowen Han, Simon Ostermann, Renren Jin, Josef van Genabith, Deyi Xiong:
Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models. ACL (1) 2026: 38979-39000 - [c3]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:
From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan. ACL (1) 2026: 40167-40182 - [i7]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:
DEP: A Decentralized Large Language Model Evaluation Protocol. CoRR abs/2603.01167 (2026) - [i6]Dan Shi, Zhuowen Han, Simon Ostermann, Renren Jin, Josef van Genabith, Deyi Xiong:
Why Does Reinforcement Learning Generalize? A Feature-Level Mechanistic Study of Post-Training in Large Language Models. CoRR abs/2604.25011 (2026) - [i5]Yuxin Liu, Ziang Ye, Yueqing Sun, Mingye Zhu, Jinwei Xiao, Zhuowen Han, Qi Gu, Xunliang Cai, Lei Zhang:
MAP: A Map-then-Act Paradigm for Long-Horizon Interactive Agent Reasoning. CoRR abs/2605.13037 (2026) - [i4]Yuxin Chen, Xiaodong Cai, Junfeng Fang, Zhuowen Han, Yu Wang, Yaorui Shi, Yi Zhang, Qi Gu, Xunliang Cai, Xiang Wang, An Zhang, Tat-Seng Chua:
Learning to Act under Noise: Enhancing Agent Robustness via Noisy Environments. CoRR abs/2605.27209 (2026) - [i3]Jinwei Xiao, Zhuowen Han, Yueqing Sun, Zhengxi Lu, Yuxin Liu, Zhiyuan Yao, Wentao Chen, Qi Gu, Xunliang Cai:
Finding the Evidence: Discovering Decision-Supporting Tokens for On-Policy Reasoning Distillation. CoRR abs/2606.22830 (2026) - 2025
- [c2]Yongqi Leng, Renren Jin, Yue Chen, Zhuowen Han, Ling Shi, Jianxiang Peng, Lei Yang, Juesi Xiao, Deyi Xiong:
Praetor: A Fine-Grained Generative LLM Evaluator with Instance-Level Customizable Evaluation Criteria. ACL (1) 2025: 10386-10418 - [c1]Zhuowen Han, Xinwei Wu, Dan Shi, Renren Jin, Deyi Xiong:
Towards a Unified Paradigm of Concept Editing in Large Language Models. EMNLP 2025: 18445-18461 - [i2]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:
Advancing Large Language Models for Tibetan with Curated Data and Continual Pre-Training. CoRR abs/2507.09205 (2025) - [i1]Renren Jin, Pengzhi Gao, Yuqi Ren, Zhuowen Han, Tongxuan Zhang, Wuwei Huang, Wei Liu, Jian Luan, Deyi Xiong:
Revisiting Entropy in Reinforcement Learning for Large Reasoning Models. CoRR abs/2511.05993 (2025)
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