[R] Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions

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https://preview.redd.it/4dvuvo18113c1.png?width=1916&format=png&auto=webp&s=4b9ba695cb00719c3e80c931f8b52a1008d7db5b

Link: [https://openreview.net/forum?id=IqJ3CU3flr](https://openreview.net/forum?id=IqJ3CU3flr)Abstract:

>While instruction-tuned language models have demonstrated impressive zero-shot generalization, these models often struggle to generate accurate responses when faced with instructions that fall outside their training set. This paper presents Instructive Decoding (ID), a simple yet effective approach that augments the efficacy of instruction-tuned models. Specifically, ID adjusts the logits for nexttoken prediction in a contrastive manner, utilizing predictions generated from a manipulated version of the original instruction, referred to as a noisy instruction. This noisy …

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