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Arnav Gudibande

1 accepted papers

2024

The False Promise of Imitating Proprietary Language Models

ICLR 2024spotlight

An emerging method to cheaply improve a weaker language model is to finetune it on outputs from a stronger model, such as a proprietary system like ChatGPT (e.g., Alpaca, Self-Instruct, and others). In this work, we critically analyze this approach of imitating language models. We first finetune a s…

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