[R] Spanda: Fast Lexical Entropy Matches DeBERTa Semantic Uncertainty—Until Frontier Models Break It
This story is from 2026-09-06. It is preserved in the archive; the latest stories are on the live feed.
We recently released a preprint and open-source benchmark analyzing the limits of self-consistency and uncertainty quantification across 1.5B to 120B models. Preprint: https://zenodo.org/records/22233648 Code: https://github.com/Adarshent/Spnda Background: Farquhar et al.'s Semantic Entropy (Nature…
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- 2026-09-06 06:37 · r/huggingface
[R] Spanda: Fast Lexical Entropy Matches DeBERTa Semantic Uncertainty—Until Frontier Models Break It - 2026-09-06 06:36 · r/machinelearningnews
[R] Spanda: Fast Lexical Entropy Matches DeBERTa Semantic Uncertainty—Until Frontier Models Break It