In-Context Teacher–Student Guidance for Open-Weight Browser Agents

In-Context Learning Guidance (ICLG) has a stronger teacher model solve representative browser tasks offline and converts its reasoning into reusable prompt-level guidance for open-weight student agents, without fine-tuning. On MiniWoB++ with GPT-5.1 as the teacher and ten open-weight students, the number of solved student-task pairs rises from 208 to 271.

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