Claims: Uncertainty Decomposition for Clarification Seeking in LLM Agents
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- title: Uncertainty Decomposition for Clarification Seeking in LLM Agents Source
- url: https://arxiv.org/abs/2606.19559 Source
- summary: arXiv:2606.19559v1 Announce Type: new Abstract: Recent position papers argue that the classical aleatoric/epistemic uncertainty framework is insufficient for interactive large language model (LLM) agents and call for underspecification-aware, decomposed, and communicable uncertainty representations that can unlock new agent capabilities such as proactive clarification seeking and shared mental-model building. Practical deployment constraints -- black-box APIs, interactive latency budgets, and th… Source
- published: Fri, 19 Jun 2026 00:00:00 -0400 Source