TECP: Token-Entropy Conformal Prediction for LLMs
Uncertainty quantification (UQ) for open-ended language generation remains a critical yet underexplored challenge, particularly in settings where token-level log-probabilities are available during decoding. We present <b>Token-Entropy Conformal Prediction (TECP)</b>, which treats a log-p...
| Published in: | Mathematics |
|---|---|
| Main Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-10-01
|
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/20/3351 |