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New Large Knowledge Model aims to organize scientific literature for AI agents

By PulseAugur Editorial · [2 sources] ·

Researchers have introduced the Large Knowledge Model (LKM), a novel knowledge foundation designed to support agentic science at scale. LKM organizes scientific literature into reasoning graphs, where claims are nodes linked by explicit reasoning chains and evidence. This structure allows for high-concurrency access, preserves traceable reasoning, and enables incremental growth of scientific knowledge. The system has demonstrated improvements in scientific retrieval, citation accuracy, and question answering across various benchmarks, including SciFact-Open, ScholarQABench, ChemBench, PubMedQA, and SciBench. AI

IMPACT This model could accelerate scientific discovery by enabling AI agents to more effectively access, reason with, and build upon existing scientific knowledge.

RANK_REASON The cluster contains two arXiv preprints detailing a new knowledge model and its application in scientific research.

Read on arXiv cs.AI →

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

New Large Knowledge Model aims to organize scientific literature for AI agents

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The cluster contains two arXiv preprints detailing a new knowledge model and its application in scientific research.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Yuan Huang, Sihan Hu, Hongyu Gu, Chao Ma, Jiaxing Zhang, Zhiyong Zou, Caiyu Fan, Yan Xiao, Mingjun Xu, Chenyu Xie, Mingzhen Ju, Zhehao Ma, Qi Zhang, Baozong Wang, Yu Li, Zhiyuan Yao, Ruoxue Liao, Xinyu Li, Linfeng Zhang, Kun Chen, Weinan E ·

    Large Knowledge Model: A Knowledge Foundation for Agentic Science at Scale

    arXiv:2609.27297v2 Announce Type: replace Abstract: Agentic science envisions many autonomous agents investigating concurrently while building on a shared, evolving body of scientific knowledge. This requires a knowledge foundation that supports high-concurrency access, preserves…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Weinan E ·

    Large Knowledge Model: From Papers to a Scientific Reasoning Landscape

    Accumulated scientific knowledge advances inquiry when prior findings help researchers choose new questions, design investigations, and interpret results. Realizing this value at scale requires access to the reasoning that connects research problems, scientific procedures, conclu…

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