A decoding-time method that steers a large LLM's context-faithfulness continuously by adding a scaled difference of two fine-tuned small proxy models' output distributions.
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Continuously Steering LLMs Sensitivity to Contextual Knowledge with Proxy Models
A decoding-time method that steers a large LLM's context-faithfulness continuously by adding a scaled difference of two fine-tuned small proxy models' output distributions.