2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
EMNLP 2024finding
Prompt-based learning is susceptible to intrinsic bias present in pre-trained language models (LMs), leading to sub-optimal performance in prompt-based zero/few-shot settings. In this work, we propose a null-input prompting method to calibrate intrinsic bias encoded in pre-trained LMs. Different fro…