A publication dated October 12, 2025 describes a method that switches between latent and explicit reasoning and reports token-efficiency gains on Qwen3-8B models.
A publication dated October 12, 2025 describes SwiReasoning, a method that uses predictive entropy to switch between latent reasoning with soft embeddings and explicit Chain-of-Thought. The text reports a maximum 6.78× gain in token efficiency and an average gain of 56–79% on Qwen3-8B models. Confidence-triggered switching may interest engineers seeking to reduce the cost of reasoning tokens.
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