most citedStructured Prompting: Scaling In-Context Learning to 1,000 Examples

11 citations · 27 across the 3 of their papers we have counts for

collaborators
Showing cs.CLShow all

2 papers · 1 filter

cs.CL2022★ 11 cited

Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Yaru Hao, Yutao Sun, Li Dong +3

Large language models have exhibited intriguing in-context learning capability, achieving promising zero- and few-shot performance without updating the parameters. However, convent…

cs.CL2022★ 10 cited

Prototypical Calibration for Few-shot Learning of Language Models

Zhixiong Han, Yaru Hao, Li Dong +2

In-context learning of GPT-like models has been recognized as fragile across different hand-crafted templates, and demonstration permutations. In this work, we propose prototypical…