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News/Unlocking the Working Memory of Large Language Models for Latent Reasoning
arxiv
PublishedMay 29, 2026 at 4:00 AM
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Unlocking the Working Memory of Large Language Models for Latent Reasoning

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Publisher summary· verbatim

arXiv:2605.30343v1 Announce Type: cross Abstract: To improve the reasoning capabilities of large language models, test-time compute is typically scaled by generating intermediate tokens before the final answer. However, this couples reasoning to autoregressive generation and thereby conflates intern

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#reasoning#language-models#working-memory#latent-reasoning

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Source
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arxiv
Read original ↗All from arxiv →
Tags
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#reasoning#language-models#working-memory#latent-reasoning

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