A fitted progress vector in LLM hidden states can monitor and, when added during decoding, shorten the thinking phase, often improving accuracy and cutting tokens.
A toy model of universality: Reverse engineering how networks learn group operations
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Overclocking LLM Reasoning: Monitoring and Controlling Thinking Path Lengths in LLMs
A fitted progress vector in LLM hidden states can monitor and, when added during decoding, shorten the thinking phase, often improving accuracy and cutting tokens.