Researchers have developed PaperPilot, a novel multi-turn literature search agent that frames scientific search as workflow induction. This agent constructs an executable Directed Acyclic Graph (DAG) of paper-search operators, allowing for dynamic refinement of queries and workflows based on user feedback. Experiments demonstrate that PaperPilot-9B significantly outperforms the base Qwen3.5-9B toolset agent in metrics such as Hit@5, MRR, and nDCG@10, while also reducing workflow execution errors. AI
IMPACT Introduces a novel agentic approach to scientific literature search, potentially improving research efficiency and discoverability.
RANK_REASON The cluster describes a new research paper detailing a novel agentic system for scientific literature search.
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