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McMaster University
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SkillMigrator slashes LLM action counts by up to 10% by leveraging layout structure for skill reuse, transforming web agent efficiency.
LLMs can learn to explore beyond their initial latent space and achieve substantial gains in mathematical reasoning by unifying offline teacher guidance and online reinforcement learning with a specialized reward modeling lens.
Generative recommendation's cold-start gains are often illusory, inflated by inconsistent evaluation and confounding design choices like model scale and identifier design.
