Proposes Q-MIA and Mixed-MIA auctions to truthfully procure LLM training data with quality-based rewards, yet key budget guarantees are unproven and no experiments are reported.
ArXiv preprint (2025)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.GT 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Designing DSIC Mechanisms for Data Sharing in the Era of Large Language Models
Proposes Q-MIA and Mixed-MIA auctions to truthfully procure LLM training data with quality-based rewards, yet key budget guarantees are unproven and no experiments are reported.