Lin, Matthieu

9 publications

NeurIPS 2025 Absolute Zero: Reinforced Self-Play Reasoning with Zero Data Andrew Zhao, Yiran Wu, Yang Yue, Tong Wu, Quentin Xu, Yang Yue, Matthieu Lin, Shenzhi Wang, Qingyun Wu, Zilong Zheng, Gao Huang

AAAI 2025 DiveR-CT: Diversity-Enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang

ICMLW 2024 DiveR-CT: Diversity-Enhanced Red Teaming with Relaxing Constraints Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-jin Liu, Zilong Zheng, Gao Huang

AAAI 2024 ExpeL: LLM Agents Are Experiential Learners Andrew Zhao, Daniel Huang, Quentin Xu, Matthieu Lin, Yong-Jin Liu, Gao Huang

AAAI 2024 Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation Matthieu Lin, Jenny Sheng, Yubin Hu, Yangguang Li, Lu Qi, Andrew Zhao, Gao Huang, Yong-Jin Liu

CVPRW 2024 Exploring Text-to-Motion Generation with Human Preference Jenny Sheng, Matthieu Lin, Andrew Zhao, Kevin Pruvost, Yu-Hui Wen, Yangguang Li, Gao Huang, Yong-Jin Liu

AAAI 2024 O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-Trained 2D Diffusion Model Yubin Hu, Sheng Ye, Wang Zhao, Matthieu Lin, Yuze He, Yu-Hui Wen, Ying He, Yong-Jin Liu

NeurIPS 2023 Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang

NeurIPS 2022 A Mixture of Surprises for Unsupervised Reinforcement Learning Andrew Zhao, Matthieu Lin, Yangguang Li, Yong-jin Liu, Gao Huang