3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 3 cited
Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts
Jiahao Ying, Yixin Cao, Kai Xiong +3
This study investigates the behaviors of Large Language Models (LLMs) when faced with conflicting prompts versus their internal memory. This will not only help to understand LLMs'…
cs.CV2022★ 1 cited
Reading Chinese in Natural Scenes with a Bag-of-Radicals Prior
Liu Yongbin, Liu Qingjie, Chen Jiaxin +1
Scene text recognition (STR) on Latin datasets has been extensively studied in recent years, and state-of-the-art (SOTA) models often reach high accuracy. However, the performance…
cs.CL2021
Ensemble Making Few-Shot Learning Stronger
Qing Lin, Yongbin Liu, Wen Wen +1
Few-shot learning has been proposed and rapidly emerging as a viable means for completing various tasks. Many few-shot models have been widely used for relation learning tasks. How…