Liangqiong Qu
- Papers
- 9
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Authored papers
9Unveiling Implicit Advantage Symmetry: Why GRPO Struggles with Exploration and Difficulty Adaptation
arXiv 2026
Unleashing the Potential of Large Language Models for Text-to-Image Generation through Autoregressive Representation Alignment
arXiv 2025
Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation
arXiv 2025
Exploring the Vulnerabilities of Federated Learning: A Deep Dive into Gradient Inversion Attacks
arXiv 2025
Exploring Federated Pruning for Large Language Models
arXiv 2025
Selective Aggregation for Low-Rank Adaptation in Federated Learning
arXiv 2024
A New Federated Learning Framework Against Gradient Inversion Attacks
arXiv 2024
Tackling Data Heterogeneity in Federated Learning via Loss Decomposition
arXiv 2024
Residual Denoising Diffusion Models
CVPR 2024 1
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