HelloWorld: Towards Practical Applications of Generative Driving World Models
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Thinking Leakage: A Causal Audit of NoThink Post-Training in Hybrid Reasoning Models
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ViRDM: Taming Representation Distribution Matching for Few-Step Causal Video Generation
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Direction-Scale Decomposition in Action Representation: Rethinking What to Tokenize for Vision-Language-Action Models
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Post-Training Leaves Behavioral Shadows on Unrelated Decisions
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Can Classical Semantic-Extractive Summarization Be Evaluated in Hindi? A Replication Study
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From Self-Distillation to Self-Practice: Privileged Information for Multi-Turn Agents
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Back to the Definition: Estimating Step-Level Advantages via Trajectory Graphs for Agentic Reinforcement Learning
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Beyond Static Graph World Models: Learning Stochastic Latent Dynamics over Evolving Topologies
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RLVR landscapes for iterated multiplications can be benign: Insights from spin-glass theory
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fable.intermittent: benchmarking probabilistic forecasting methods for intermittent time series
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A Rapid Pipeline for Training and Deploying ML Models on WeBe Band
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