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Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency

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Recent advances in large reasoning models have enabled complex, step-by-step reasoning but often introduce significant overthinking, resulting in verbose and redundant outputs that hinder efficiency. In this study, we examine whether explicit self-reflection, signaled by tokens such as "Wait" and "Hmm", is necessary for advanced reasoning. We propose NoWait, a simple yet effective approach that disables explicit self-reflection by suppressing these tokens during inference. Extensive experiments on ten benchmarks across textual, visual, and video reasoning tasks show that NoWait reduces chain-of-thought trajectory length by up to 27%-51% in five R1-style model series, without compromising model utility. NoWait thus offers a plug-and-play solution for efficient and utility-preserving multimodal reasoning.

Chenlong Wang, Yuanning Feng, Dongping Chen, Zhaoyang Chu, Ranjay Krishna, Tianyi Zhou• 2025

Related benchmarks

TaskDatasetResultRank
Math ReasoningAMC23
Pass@1 Accuracy95
99
Science ReasoningARC-C
Accuracy96.2
58
Mathematical ReasoningMATH500
Accuracy88.7
57
Math ReasoningGSM8K
Pass@1 Accuracy96.3
57
Mathematical ReasoningAIME 2024
Accuracy70
54
Science ReasoningGPQA D
Accuracy68.2
52
Math ReasoningGSM8K
Accuracy95.8
49
General ReasoningOverall
Accuracy83.3
40
Math ReasoningAIME 2025
Accuracy66.7
36
Math and Science ReasoningAverage
Accuracy80.8
36
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