Spectral-Driven Adaptive-Rank Optimizer for Large Language Model Reinforcement Learning with Verifiable Rewards
Paper • 2610.16533 • Published • 10
Yongqiang Liu
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Latent World Action Model for GUI AgentsOrganizations
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Latent World Action Model for GUI Agents
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LongR: Unleashing Long-Context Reasoning via Reinforcement Learning with Dense Utility Rewards
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PhyProbe: Rethinking Physical Consistency Evaluation in Generated Videos
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Fish Audio Drama 3 Technical Report
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WAVE-0: Bridging VLA Policies and WAMs with Lightweight Latent Future Prediction
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GreenWAM: A World Foundation Model for Robotics
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