arxiv
PublishedSeptember 1, 2026 at 4:00 AM
Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models
Publisher summary· verbatim
arXiv:2510.03136v2 Announce Type: replace Abstract: Confidence calibration, the alignment of a model's predicted confidence with its actual accuracy, is crucial for the reliable deployment of Large Language Models (LLMs). However, this critical property remains largely under-explored in multilingual
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Originally published on arxiv ↗