Evaluating Few-Shot Learning Models
“Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity” By Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp Lu, Bartolo, Moore, Riedel, and Stenetorp (2021) take on an important problem: how to consistently train few-shot large language models to get peak performance. Currently, depending…
Evaluating Few-Shot Learning Models “Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity” By Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp Lu, Bartolo, Moore, Riedel, and Stenetorp (2021) take on an important problem: how to consistently train few-shot large language models to get peak performance. Currently, depending… nlp
Evaluating FewShot Learning Models “Fantastically Ordered Prompts Find Overcoming FewShot Prompt Order Sensitivity” Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp Lu Bartolo Moore Riedel Stenetorp 2021 take important problem consistently train fewshot large language model get peak performance Currently depending… nlp