6 citations · 6 across the 5 of their papers we have counts for
6 papers
Replay the Curvature: Accurate and Scalable NVFP4 Quantization for Large Language Model Inference
Ruiyi Ding, Jie Li, Kang He +4
Large language models make weight storage and memory traffic major inference costs, motivating low-precision formats that represent each weight with only a few bits. Such formats u…
TEMPO: Makespan-Aware Expert-Parallel Load Balancing Across Memory- and Compute-Bound Regimes
Jie Li, Chenxin Jia, Jinliang Shen +5
In expert-parallel (EP) MoE serving, every layer synchronizes at the slowest GPU. Dispatchers balance token counts (EPLB, LPLB, UltraEP) or activated-expert counts (METRO), assumin…
JAGG: Jacobian-Aggregated Group Gradient for Efficient GRPO Training of Diffusion Models
Ruiyi Ding, Jie Li, He Kang +3
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…