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arxiv_agent_systems_research · Oct 27, 2026 · paper

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Scaling Laws for Tool-Use Agents via Controllable Environment Synthesis

arxiv.orgOct 27, 2026
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In brief

We explore how to build performant large language model (LLM) tool-use agents that complete complex, multi-step tasks. Specifically, we study how data composition in synthetically generated tool-use environments affec...

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Scaling Laws for Tool-Use Agents via Controllable Environment Synthesis

Earlier in this thread 4 items

Agent World Model in the Wild: Computer-Use Agent Environment Synthesis

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