Kernel Token Contradiction: a Fast and Principled Approach for LLM Claim Uncertainty Quantification

Kernel Token Contradiction uses a token contradiction kernel with von Neumann entropy for fast, accurate LLM claim-level uncertainty quantification. It achieves over 8.2x speedups versus GPU cross-encoders and 65x versus CPU baselines while matching or exceeding accuracy, especially in high-precisio

Jérémie Dentan, Alexi Canesse, Mahammed El Sharkawy, Sonia Vanier

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026