PROSE uses iterative refinement and cross-sample verification to infer personalized writing preferences from user demonstrations, outperforming CIPHER by 33% on the new PLUME benchmark.
Art or artifice? large language models and the false promise of creativity
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Aligning LLMs by Predicting Preferences from User Writing Samples
PROSE uses iterative refinement and cross-sample verification to infer personalized writing preferences from user demonstrations, outperforming CIPHER by 33% on the new PLUME benchmark.