UT Austin, EPFL, ENS Paris-Saclay, Télécom Paris · Research Paper
Terminator
Early-exit strategy for Large Reasoning Models that reduces Chain-of-Thought reasoning length by 14-55% and halves wall-clock latency by training a lightweight single-layer probe to predict when the model has generated its final answer, achieving best or second-best performance on 28/32 metrics across four models and benchmarks without fine-tuning.
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