Label‑free token uncertainty improves confidence
Token‑level uncertainty can now be quantified accurately without any correctness labels. The authors define a low‑dimensional “U‑Space” that captures the model’s evolving doubt and certainty, then project each token state onto orthogonal basis vectors to obtain an interpretable uncertainty map — “W…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-19 05:00 · DEV Community — Machine Learning
Label‑free token uncertainty improves confidence