A control-token insertion and two-stage training method that lets LLMs adhere to user-specified reasoning token budgets while preserving math accuracy.
Timelynet: Adaptive neural architecture for autonomous driving with dynamic deadline
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BudgetThinker: Empowering Budget-aware LLM Reasoning with Control Tokens
A control-token insertion and two-stage training method that lets LLMs adhere to user-specified reasoning token budgets while preserving math accuracy.