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PaperPilot agent uses workflow induction for advanced scientific literature search

By PulseAugur Editorial · [2 sources] ·

Researchers have developed PaperPilot, a novel multi-turn agent designed for scientific literature search. Unlike traditional agents that use fixed pipelines or simple language reasoning, PaperPilot frames search as workflow induction, creating an executable Directed Acyclic Graph (DAG) of search operators. This approach allows for greater control and refinement of search strategies through user feedback. Experiments show PaperPilot-9B significantly outperforms the base Qwen3.5-9B toolset agent in metrics like Hit@5, MRR, and nDCG@10, while also reducing execution errors. AI

IMPACT Introduces a novel agentic approach for scientific literature search, potentially improving research efficiency and discoverability.

RANK_REASON Research paper introducing a new agentic system for scientific literature search. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

PaperPilot agent uses workflow induction for advanced scientific literature search

COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Jisen Li (University of Illinois Urbana-Champaign, Together AI), Bingxuan Li (University of Illinois Urbana-Champaign), Nanyi Jiang (University of Pennsylvania), Xuying Ning (University of Illinois Urbana-Champaign), Xiyao Wang (University of Pennsylvani… ·

    Multi-Turn Agentic Scientific Literature Search via Workflow Induction

    arXiv:2607.00597v1 Announce Type: new Abstract: 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 pip…

  2. arXiv cs.CL 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…

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