Rationale contrastive decoding reduces CoT query shortcuts
The training-free method improved answer accuracy on five reasoning benchmarks and made answers depend more on the rationale.
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The training-free method improved answer accuracy on five reasoning benchmarks and made answers depend more on the rationale.
Training-free LoopCD improves looped Transformer decoding and can cut recurrent compute by up to 48%.
LoopCD uses earlier recurrent states for contrastive decoding, boosting looped Transformers while cutting inference FLOPs.
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