Yuan, Yige

8 publications

NeurIPS 2025 Inference-Time Alignment in Continuous Space Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng

ICLRW 2025 Inference-Time Alignment in Continuous Space Yige Yuan, Teng Xiao, Li Yunfan, Bingbing Xu, Shuchang Tao, Yunqi Qiu, Huawei Shen, Xueqi Cheng

ICLR 2025 On a Connection Between Imitation Learning and RLHF Teng Xiao, Yige Yuan, Mingxiao Li, Zhengyu Chen, Vasant G Honavar

ICLR 2025 SimPER: A Minimalist Approach to Preference Alignment Without Hyperparameters Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G Honavar

NeurIPS 2024 Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment Teng Xiao, Yige Yuan, Huaisheng Zhu, Mingxiao Li, Vasant G Honavar

AAAI 2024 PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

CVPR 2024 TEA: Test-Time Energy Adaptation Yige Yuan, Bingbing Xu, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

NeurIPS 2023 Augmentation-Aware Self-Supervision for Data-Efficient GAN Training Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Huawei Shen, Xueqi Cheng