5 citations · 5 across the 3 of their papers we have counts for
5 papers
Acoustic Tweezers for Magnetic Skyrmions
Chongzhou Wang, Weichao Yu
Current methods for driving magnetic skyrmions predominantly translate ensembles as a whole, lacking single-particle selectivity. Here, we propose an "acoustic tweezer" that determ…
JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models
Ruiyi Ding, Jie Li, He Kang +4
Group Relative Policy Optimization (GRPO) is a powerful reinforcement learning algorithm for aligning generative models with human preferences. While successful in large language m…
Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents
Ziyan Liu, Zhezheng Hao, Yeqiu Chen +7
Memory-augmented LLM agents tackle complex long-horizon tasks by recursively summarizing interaction trajectories into compact memory. However, existing approaches typically train…
CFNN: Continued Fraction Neural Network
Chao Wang, Xuancheng Zhou, Ruilin Hou +2
Accurately characterizing non-linear functional manifolds with singularities is a fundamental challenge in scientific computing. While Multi-Layer Perceptrons (MLPs) dominate, thei…
PRPO: Aligning Process Reward with Outcome Reward in Policy Optimization
Ruiyi Ding, Yongxuan Lv, Xianhui Meng +4
Policy optimization for large language models often suffers from sparse reward signals in multi-step reasoning tasks. Critic-free methods like GRPO assign a single normalized outco…