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Why It Matters
LLM decision components that can operate within agent workflows often produce action-relevant recommendations or judgements together with explanations.
Provenance
Discovered via ArXiv and published by ArXiv.
Key Claims
Original description
LLM decision components that can operate within agent workflows often produce action-relevant recommendations or judgements together with explanations. Operators may use the named factors to monitor a system, diagnose errors, or decide when to escalate an output. Such use assumes that the explanations agree with the component's observable decision behaviour. We test two interpretations of the named factors: necessity, meaning that changing a factor would change the output, and sufficiency, meaning that retaining it while removing other changeable information would preserve the output. We evalu...
Discovered via ArXiv
Research papers and preprints from arXiv.
Publisher: arxiv.org
ID: http://arxiv.org/abs/2609.05385v1 · Indexed 6 days ago