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Machine Learning Reinforcement Learning Transformers LLMs Attention Diffusion AI Interpretability BPE causal interventions context paradigm

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Beyond Reinforcement Learning: Sampling as Optimization for Reasoning Models

Imagine an LLM solving a math problem. It samples a full reasoning trace, you run a verifier, and the verifier returns a number: per...

Machine Learningenergy-based modelsimportance sampling

Aug 28, 2026 18 min read 200