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arXiv cs.AI·

STT-Arena: A More Realistic Environment for Tool-Using with Spatio-Temporal Dynamics

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In three linesSTT-Arena is a benchmark of 227 interactive tasks measuring LLMs' ability to detect and adapt to spatio-temporal changes. Claude-4.6-Opus achieves under 40% accuracy. Authors identify three recurring failure modes and propose STT-Agent-4B combining iterative trajectory refinement with online RL.
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AI AgentsBenchmarksReasoningReinforcement learningClaude

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