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Calibration is the Bottleneck: An Action-Class Diagnostic of Multi-Turn Tool-Calling
Multi-turn tool calling is a core evaluation scenario for large language model (LLM) agents. On public tool-calling benchmarks, open-weight models now approach or even surpass closed-source frontier models in aggregate accuracy. However, this metric averages over many different multi-turn situations
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