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LLMs struggle to effectively integrate and order evidence in attack chain reconstruction, with top models only succeeding 39.6% of the time on critical tasks.
Forget fixed temperature schedules: TAMPO learns to adapt temperature on-the-fly, boosting LLM reinforcement learning performance on mathematical reasoning tasks.
