Compressed Chain of Thought: Efficient Reasoning Through Dense Representations
Compresses verbose reasoning traces into shorter dense representations and evaluates the trade-off between reasoning quality and generated length.
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arXiv:2412.13171 · Initial submission: 2024-12-17
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Continuous-state reasoning — Use vectors—lists of numbers—to carry intermediate reasoning from one step to the next, instead of selecting a text token at every step. Some methods use the model's hidden states; others combine several candidate token representations.
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