Beyond Single-Turn Confidence: Trajectory-Adapted Uncertainty Quantification for LLM Agents
英文标题：Beyond Single-Turn Confidence: Trajectory-Adapted Uncertainty Quantification for LLM Agents
arXiv:2608.11552v1 Announce Type: new Abstract: Uncertainty quantification (UQ) methods for language models are typically evaluated on single-turn outputs, where uncertainty is attached to one generated answer. For LLM agents, however, the unit of observation is an interactive trajectory, where the
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arXiv:2608.11552v1 Announce Type: new Abstract: Uncertainty quantification (UQ) methods for language models are typically evaluated on single-turn outputs, where uncertainty is attached to one generated answer. For LLM agents, however, the unit of observation is an interactive trajectory, where the
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