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Affiliation:, The Chinese University of Hong Kong, University of Edinburgh
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By harnessing user behavior trajectories, B2T-Agent dramatically enhances travel plan personalization, outperforming leading models like GPT-4.1.
Context interference can significantly degrade the performance of search agents, but a novel context refiner shows how to enhance their reliability and efficiency dramatically.
The effectiveness of on-policy distillation hinges not on the size of the teacher model, but on the quality of the guiding signal, revealing critical pathologies that can undermine exploration.
