T
Taylor Shin
Publications - 2
Citations - 354
Taylor Shin is an academic researcher. The author has contributed to research in topics: Language model & Relationship extraction. The author has an hindex of 2, co-authored 2 publications receiving 126 citations.
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AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
TL;DR: This paper developed AutoPrompt, an automated method to create prompts for a diverse set of tasks, based on a gradient-guided search, and showed that automatically generated prompts are a viable parameter-free alternative to existing probing methods, and as pretrained LMs become more sophisticated and capable, potentially a replacement for finetuning.
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AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
TL;DR: This paper developed AutoPrompt, an automated method to create prompts for a diverse set of tasks, based on a gradient-guided search, and showed that automatically generated prompts are a viable parameter-free alternative to existing probing methods, and as pretrained LMs become more sophisticated and capable, potentially a replacement for finetuning.