arxiv
PublishedOctober 2, 2026 at 4:00 AM
—neutral
Semifactual Credit-Augmented Policy Optimization
Publisher summary· verbatim
arXiv:2609.40360v1 Announce Type: cross Abstract: Reinforcement learning with verifiable rewards (RLVR) has improved the reasoning capabilities of large language models (LLMs), yet their predictions remain sensitive to task-irrelevant prompt features. We investigate this sensitivity through semifact
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Originally published on arxiv ↗