6 papers · 1 filter
FocusOPD: Structure-Guided On-Policy Distillation for Diffusion Models
Xinrui Lin, Shumin Wang, Suqi Song +2
Multi-teacher on-policy distillation enables rectified-flow models with diffusion-transformer architectures to combine task-specific capabilities within a single student. However,…
When Pairwise Preferences Cycle: A Reliability-Anchored Preference Walk for Video GRPO
Xinrui Lin, Fan Li, Shumin Wang +2
Pairwise preference feedback has become a widely adopted supervision signal for reinforcement learning in video generation models, as pairwise comparisons provide a more reliable a…
Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility
Fan Li, Mengting Pan, Sijia Xu +3
Proprietary large language models (LLMs) entail substantial intellectual and financial investment, making them valuable intellectual property (IP). However, even when deployed via…
Universal Graph Backdoor Defense: A Feature-based Homophily Perspective
Mengting Pan, Fan Li, Chen Chen +1
Graph neural networks (GNNs) have achieved remarkable success in relational learning. However, their vulnerability to graph backdoor attacks (GBAs) poses a significant barrier to b…
Anchor-guided Hypergraph Condensation with Dual-level Discrimination
Fan Li, Xiaoyang Wang, Chen Chen +1
The increasing prevalence of large-scale hypergraphs poses significant computational challenges for hypergraph neural network (HNN) training. To address this, hypergraph condensati…
CTC: A Training-Free Framework for Efficient Tabular Data Condensation
Sijia Xu, Fan Li, Xiaoyang Wang +2
Tabular data is the primary data format in industrial relational databases, underpinning modern data analytics and decision-making. However, the increasing scale of tabular data po…