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Probabilistic GCD proposals can achieve faster convergence to target distributions with fewer particles, revolutionizing how we enforce constraints in language model outputs.
The best LLM to answer a question isn't always the best LLM to *teach* the answer, and matching the "difficulty" of the explanation to the student's current abilities yields better learning.
