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cs.AI2026
Reinforcement Learning-driven Diffusion Models: Language, Vision, and Beyond
Zhiyuan Ma, Jiabao Wei, Tianyu Wang +21
Diffusion models (DMs) have steadily demonstrated outstanding performance in high-fidelity, controllable generation across diverse scenarios, following the "pretraining-finetuning"…
cs.CV2026
DynaPPI: A Large-scale Dynamic Protein Dataset for AI-driven Advances in Protein Interactomics
Jiabao Wei, Zilong Geng, Yuze Wang +5
Diffusion models have been widely explored in protein backbone generation due to their powerful generation capabilities.However, in today's AI-driven biological research, predictin…
cs.LG2026
TMPO: Trajectory Matching Policy Optimization for Diverse and Efficient Diffusion Alignment
Jiaming Li, Chenyu Zhu, Nanxi Yi +9
Reinforcement learning (RL) has shown extraordinary potential in aligning diffusion models to downstream tasks, yet most of them still suffer from significant reward hacking, which…