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The Large Knowledge Model (LKM) introduces a scientific knowledge infrastructure that transforms research papers into reasoning graphs, creating a Scientific Reasoning Landscape to support scientific search, question answering, and research planning with demonstrated accuracy improvements on benchmarks.
The article introduces ScienceBuddy, a free open-source AI tool on GitHub that automates literature searches, data analysis, and paper preparation steps for students and researchers, saving significant time on tedious tasks.
The article critiques the mislabeling of chatbots like ChatGPT as AI research agents, arguing that true research agents must handle complex, multi-step workflows. It features 'mira ai science' as a tool that attempts to meet these needs.
This paper presents AlphaAgent, a skill-driven agent framework for evidence-aware materials literature analysis, which decouples retrieval-based QA from report generation and outperforms a baseline on 40 materials-science questions.