Artificial Intelligence #artificial intelligence#large reasoning models
Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models
A new research paper from arXiv shows that reinforcement learning with verifiable rewards (RLVR) can cause large reasoning models to forget foundational capabilities like perception and faithfulness. The authors propose RECAP, a replay strategy with dynamic objective reweighting that preserves general knowledge while maintaining reasoning gains.
Jun 21, 2026 1 source