Fiction-derived normative simulacra, when used for SFT plus GRPO with contrastive scoring, improve LLMs' contextual privacy reasoning and correlation with human expectations on real-world benchmarks.
This per-flow, best-match design avoids the degeneracy of comparing scene-level descriptions against a concatenated taxonomy of all norm contexts
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Reinforcing privacy reasoning in LLMs via normative simulacra from fiction
Fiction-derived normative simulacra, when used for SFT plus GRPO with contrastive scoring, improve LLMs' contextual privacy reasoning and correlation with human expectations on real-world benchmarks.