FAITH improves LLM factual accuracy by mapping confidence and semantic entropy into natural-language knowledge-state quadrants for trustworthiness and honestness, then applying PPO with a combined reward and retrieval augmentation.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness
FAITH improves LLM factual accuracy by mapping confidence and semantic entropy into natural-language knowledge-state quadrants for trustworthiness and honestness, then applying PPO with a combined reward and retrieval augmentation.