AI Research
PersonaTrail: Benchmarking Personalized Web Agents through Browsing Trails
Recent advances in large language models have enabled web agents to autonomously execute complex tasks. In practice, users frequently provide underspecified instructions, requiring agents to infer the missing context from their raw browsing histories. Existing benchmarks fail to ...
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ArXiv CS.AI
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ArXiv CS.AI
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PersonaTrail addresses a critical gap in AI agent development by incorporating personalized browsing histories, moving beyond generic task execution. This benchmark will drive advancements in agents that can truly understand and adapt to individual user behavior.
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