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University of Minnesota
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Sampling weight updates, not just tokens, unlocks significant test-time adaptation gains for LLMs.
Straggler-Aware Group Control can significantly enhance the efficiency of synchronous reinforcement learning by dynamically optimizing group sizes, leading to faster training and better model performance.