Neural statistical functions use prefix statistics to unify and directly predict statistical quantities over continuous ranges from pre-trained single-sample models without repeated sampling.
Dropout as a bayesian approximation: Representing model uncertainty in deep learning
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.LG 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
ORCE decouples answer generation from confidence estimation in LLMs and applies rank-based reinforcement learning on sampled completions to better align verbalized confidence with actual correctness likelihood.
citing papers explorer
-
Neural Statistical Functions
Neural statistical functions use prefix statistics to unify and directly predict statistical quantities over continuous ranges from pre-trained single-sample models without repeated sampling.
-
ORCE: Order-Aware Alignment of Verbalized Confidence in Large Language Models
ORCE decouples answer generation from confidence estimation in LLMs and applies rank-based reinforcement learning on sampled completions to better align verbalized confidence with actual correctness likelihood.