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Normalized Low-Rank Adaptation
Paper • 2608.31036 • Published • 57 -
Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL
Paper • 2610.21439 • Published • 28 -
APT: Feedback-Driven Agentic Post-Training for Text-to-Image Generation
Paper • 2610.18097 • Published • 19 -
Correction Training for Diffusion Models
Paper • 2610.14136 • Published • 42
amjad
heroali
AI & ML interests
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Recent Activity
Organizations
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Dataset
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MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation
Paper • 2604.23789 • Published • 5 -
OmniGUI: Benchmarking GUI Agents in Omni-Modal Smartphone Environments
Paper • 2605.18758 • Published • 14 -
GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration
Paper • 2605.31039 • Published • 43 -
lightcone02/OmniContact-Dataset
Preview • Updated • 3.78k • 18
training
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Normalized Low-Rank Adaptation
Paper • 2608.31036 • Published • 57 -
Each Reward to Its Relevant Tokens: Reward-Specific Token-Level Credit Assignment for Multi-Reward RL
Paper • 2610.21439 • Published • 28 -
APT: Feedback-Driven Agentic Post-Training for Text-to-Image Generation
Paper • 2610.18097 • Published • 19 -
Correction Training for Diffusion Models
Paper • 2610.14136 • Published • 42
Dataset
-
MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation
Paper • 2604.23789 • Published • 5 -
OmniGUI: Benchmarking GUI Agents in Omni-Modal Smartphone Environments
Paper • 2605.18758 • Published • 14 -
GGT-100K: Generative Ground Truth for Generalizable Real-World Image Restoration
Paper • 2605.31039 • Published • 43 -
lightcone02/OmniContact-Dataset
Preview • Updated • 3.78k • 18
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