Debiasing Techniques

In recent years, pretrained word embed- dings have proved useful for multimodal neural machine translation (NMT) mod- els to address the shortage of available datasets. However, the integration of pretrained …...

AbstractBias is pervasive for NLP models, motivating the development of automatic debiasing techniques. Evaluation of NLP debiasing methods has largely been limited to binary attributes in isolation, e.g., debiasing with …...

AbstractRecent studies have shown that prompts improve the performance of large pre-trained language models for few-shot text classification. Yet, it is unclear how the prompting knowledge can be transferred across …...