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M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
Tao: Using test-time compute to train efficient LLMs without labeled data
Scaling up test-time compute with latent reasoning: A recurrent depth approach
DeepMind and UC Berkeley shows how to make the most of LLM inference-time compute
