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Ido Amit

1 paper indexed

arxivcs.AIcs.CLcs.LG2026-07-04

Evaluating LLM Uncertainty in Long-Form Generation Using Deterministic Ground Truth

Ido Amit, Ido Galil, Ran El-Yaniv

As LLMs generate increasingly long outputs, effective uncertainty estimation must identify errors at fine-grained levels rather than discard entire responses. While such methods exist, evaluating uncertainty at any resolution (token to an entire generation) is challenging and hig…

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