LLM Pretraining with Continuous Concepts
Interleaves continuous concept representations with text during pretraining so language models learn to compute over concepts as well as tokens.
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arXiv:2502.08524 · Initial submission: 2025-02-12
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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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