SoftCoT++ generates multiple diverse latent thoughts through distinct initial tokens and a contrastive loss, improving reasoning accuracy beyond soft-thought and self-consistency baselines.
Teaching large language models to self-debug
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SoftCoT++: Test-Time Scaling with Soft Chain-of-Thought Reasoning
SoftCoT++ generates multiple diverse latent thoughts through distinct initial tokens and a contrastive loss, improving reasoning accuracy beyond soft-thought and self-consistency baselines.