[D] Autoregressive model for NER/RE?

From what I gather, the SOTA in Named entity recognition/relation extraction is still finetuning encoder models (Roberta, etc) on the domain text, and then the task specific training (for NER this would be token classification).

With all the developments that have been occurring with autoregressive models, has anyone worked on applying them to the NER and RE, specifically for a fairly specific task, not just your basic <ORG> <PERSON> <LOC>?

Thanks!

autoregressive model autoregressive models classification encoder etc extraction finetuning machinelearning ner recognition roberta sota text training