Nassim Walha

Eigenvalue Calibration for Semantic Embeddings of Large Language Models

Sebastian G. Gruber, Nassim Walha, Francis Bach, Florian Buettner

Uncertainty quantification is central to the reliable deployment of large language models (LLMs), and eigenvalues of semantic embeddings have recently emerged as a key tool in state-of-the-art methods. However, conventional calibration results developed for classification probabi…Read more