7 citations · 11 across the 4 of their papers we have counts for
5 papers
LivingRAG: Augmenting Graph RAG with Experience
Yuzhuo Cui, Zongye Zhang, Qingjie Liu
Graph-based RAG improves multi-hop question answering by organizing evidence as a knowledge graph. However, most existing RAG systems process each query in isolation and discard us…
Semantic-Aware Motion Encoding for Topology-Agnostic Character Animation
Zongye Zhang, Yuzhuo Cui, Qingjie Liu +1
Generalizing motion representation across diverse characters remains challenging due to significant topological variations in skeletal structures across datasets and species, which…
Towards Robust and Controllable Text-to-Motion via Masked Autoregressive Diffusion
Zongye Zhang, Bohan Kong, Qingjie Liu +1
Generating 3D human motion from text descriptions remains challenging due to the diverse and complex nature of human motion. While existing methods excel within the training distri…
SkeletonX: Data-Efficient Skeleton-based Action Recognition via Cross-sample Feature Aggregation
Zongye Zhang, Wenrui Cai, Qingjie Liu +1
While current skeleton action recognition models demonstrate impressive performance on large-scale datasets, their adaptation to new application scenarios remains challenging. Thes…
A Survey on Data Synthesis and Augmentation for Large Language Models
Ke Wang, Jiahui Zhu, Minjie Ren +8
The success of Large Language Models (LLMs) is inherently linked to the availability of vast, diverse, and high-quality data for training and evaluation. However, the growth rate o…