AI RESEARCH
LogitScope: A Framework for Analyzing LLM Uncertainty Through Information Metrics
arXiv CS.AI
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ArXi:2603.24929v1 Announce Type: new Understanding and quantifying uncertainty in large language model (LLM) outputs is critical for reliable deployment. However, traditional evaluation approaches provide limited insight into model confidence at individual token positions during generation. To address this issue, we