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News/Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents
arxiv
PublishedApril 3, 2026 at 4:00 AM
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Open, Reliable, and Collective: A Community-Driven Framework for Tool-Using AI Agents

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Publisher summary· verbatim

arXiv:2604.00137v1 Announce Type: new Abstract: Tool-integrated LLMs can retrieve, compute, and take real-world actions via external tools, but reliability remains a key bottleneck. We argue that failures stem from both tool-use accuracy (how well an agent invokes a tool) and intrinsic tool accuracy

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Source
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arxiv
Read original ↗All from arxiv →
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#reliability#benchmark#open-source#tooling

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arxivRetrieval Augmented Generation Compositionality6harxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents6harxivTNODEV: Toolbox for Neural ODE Verification6harxivLearning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding6h
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