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-probability-b...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
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MDPI AG
2025-10-01
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| Serie: | Mathematics |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2227-7390/13/20/3351 |
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