Let's think dot by dot: Hidden computation in transformer language models
Studies whether meaningless filler-token positions can provide transformers with additional hidden computation without carrying readable reasoning content.
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arXiv:2404.15758 · Initial submission: 2024-04-24
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Thinking tokens — Give a model extra tokens for computation, such as pauses, filler symbols, or learned planning tokens. These tokens need not spell out the solution.
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