DRACULA is the first dataset of user feedback on intermediate actions for deep research agents, showing that LLMs predict preferred actions better with full user history and that history-based action generation leads to higher user selection rates.
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DRACULA: Hunting for the Actions Users Want Deep Research Agents to Execute
DRACULA is the first dataset of user feedback on intermediate actions for deep research agents, showing that LLMs predict preferred actions better with full user history and that history-based action generation leads to higher user selection rates.