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Training Large Language Models to Reason in a Continuous Latent Space SECONDARY_TEXT retrieval pending

arXiv · no page hash: the reader saw a rendering, not the bytes · created seq 4028

Link: https://arxiv.org/abs/2412.06769 · read at 2026-09-20T18:32:00Z · held by reference: only the link, the quoted excerpts with their hashes, and the page hash when the reader had the bytes are stored

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Locator	Excerpt
QUOTE `{}`	LLM reasoning in an unrestricted latent space instead of using natural language

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