most citedProSG: Using Prompt Synthetic Gradients to Alleviate Prompt Forgetting of RNN-like Language Models

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025

SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognition

Sixian Ding, Xu Jiang, Zhongjing Du +3

Semi-supervised deep facial expression recognition (SS-DFER) has gained increasingly research interest due to the difficulty in accessing sufficient labeled data in practical setti…

cs.CL2023★ 1 cited

ProSG: Using Prompt Synthetic Gradients to Alleviate Prompt Forgetting of RNN-like Language Models

Haotian Luo, Kunming Wu, Cheng Dai +2

RNN-like language models are getting renewed attention from NLP researchers in recent years and several models have made significant progress, which demonstrates performance compar…