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PaperPilot agent uses workflow induction for advanced scientific literature search · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

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.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

PaperPilot agent uses workflow induction for advanced scientific literature search · 2 sources tracked

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The cluster describes a new research paper detailing a novel agentic system for scientific literature search.
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COVERAGE [2]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Bingxin Zhao ·

    Multi-Turn Agentic Scientific Literature Search via Workflow Induction

    Scientific literature search often requires more than retrieving papers from a single query: users' intents are underspecified, preference-dependent, and evolve through interaction. Existing search agents typically rely on fixed pipelines or implicit language-only reasoning, maki…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Multi-Turn Agentic Scientific Literature Search via Workflow Induction

    paper pilot is a multi-turn literature search agent that uses executable workflows to improve search accuracy and reduce errors by incorporating user feedback and controlled workflow corruption training.

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