Author

Iryna Gurevych

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#artificial intelligence Preprint Feb 2026

From Leaky Thoughts to Private Reasoning: Controlling What LRMs Say to Themselves

The results show that improving IF in LRMs can significantly enhance privacy, suggesting a promising direction for future privacy-aware LRMs, and introduces an SFT dataset that teaches models to follow general instructions throughout their reasoning process.

Haritz Puerto, Haonan Li, Xudong Han et al. · 0 citations

Preprint Aug 2026

Parameter Exploration for RLVR via Variational Learning

Evidence that parameter-space exploration can improve reinforcement learning for LLMs is presented, and a family of methods called Perturbed Parameter Policy Optimization (3PO) is introduced which use different sampling strategies and different rollout grouping for reward estimation.

Vatsal Venkatkrishna, Nico Daheim, Iryna Gurevych · 0 citations