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arXiv — cs.AI

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标题为英语Principled Thoughts for Latent Recursive LLM Systems

arXiv:2609.36159v1 Announce Type: new Abstract: Large language models can reason in continuous space instead of decoded text, by recurring on their own hidden states or by passing those states between agents, while training supervises only the Cross-Entropy (CE) of the final…

arXiv — cs.AI作者: Fahd Seddik, Fatemeh Fard2026年9月30日 (9月30日)
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  • arXiv:2609.36159v1 Announce Type: new Abstract: Large language models can reason in continuous space instead of decoded text, by recurring on their own hidden states or by passing those states between agents, while training supervises only the Cross-Entropy (CE) of the final…
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Principled Thoughts for Latent Recursive LLM Systems

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