src_fb50be84b835134c75
- Source-provided label
- Not reported
- Evidence class
- mentioned in report
- Confidence
- Not reported
- Observed
- Oct 07, 2026 04:00 UTC
- Retrieved
- Oct 08, 2026 03:43 UTC
Reward-Driven Learning under Prompt-Level Differential Privacy
arXiv:2610.07212v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) trains a language model on problems that may themselves be confidential, and the trained model can reveal which problems it saw. We study RLVR under prompt-level differential privacy: the released weights must be ({\epsilon},{\delta})-differentially private with respect to the presence of any on
Reference details
- Source category
- Research & news
- Report title
Reward-Driven Learning under Prompt-Level Differential Privacy- First reported
- Oct 07, 2026 04:00 UTC
- Last reported
- Oct 07, 2026 04:00 UTC
- Catalog updated
- Oct 08, 2026 03:43 UTC
- Record ID
66b66de18558fe6788dc1d5f67098654b5ca198aae2a537d6212cfc20840c7f3
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- src_fb50be84b835134c75Collection status unverifiedLast successful batch: Unverified
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