ESamp trains a test-time distiller to model LLM depth-wise representation transitions and biases decoding toward high prediction-error paths to increase semantic diversity.
We are given two scenarios to find the relationship between walking speeds(km/h) and total time: • Scenario 1: Speeds=⇒Total time = 4 hours
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Large Language Models Explore by Latent Distilling
ESamp trains a test-time distiller to model LLM depth-wise representation transitions and biases decoding toward high prediction-error paths to increase semantic diversity.