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LLMs talk too much: HANDRAISER teaches agents to interrupt each other, slashing communication costs by 32% without sacrificing task performance.
Forget RL fine-tuning: this paper shows you can beat it at cold-start personalization with a tiny model and clever Bayesian inference over structured preference priors.
