CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

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"TokenPowerBench: Benchmarking the Power Consumption of LLM Inference"

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How to Scale Your Model

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First comprehensive framework for how AI agents actually improve through adaptation.

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Agent Quality

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Google Research 2025: Bolder breakthroughs, bigger impact


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Fixing It in Post: A Comparative Study of LLM Post-Training Data Quality and Model Performance

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Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning

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Bottom-up Policy Optimization: Your Language Model Policy Secretly Contains Internal Policies

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Transductive Visual Programming: Evolving Tool Libraries from Experience for Spatial Reasoning

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