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The Power of Test-Time Training for Approximate Sampling

Noah Golowich, Ankur Moitra, Dhruv Rohatgi
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arXiv:2606.11437v1 Announce Type: cross Abstract: Efficiently sampling from a complex probability distribution is a fundamental problem which has become increasingly pertinent in recent years with the rise of generative AI, as sophisticated sampling procedures from LLMs have been proposed to solve challenging reasoning problems. The efficacy of...

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