2025
Inv-Entropy: A Fully Probabilistic Framework for Uncertainty Quantification in Language Models
NeurIPS 2025poster
Large language models (LLMs) have transformed natural language processing, but their reliable deployment requires effective uncertainty quantification (UQ). Existing UQ methods are often heuristic and lack a fully probabilistic foundation. This paper begins by providing a theoretical justification f…