32 citations · 37 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 32 cited
Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning
Ruixiang Tang, Dehan Kong, Longtao Huang +1
Large language models (LLMs) have recently shown great potential for in-context learning, where LLMs learn a new task simply by conditioning on a few input-label pairs (prompts). D…
cs.AI2022★ 5 cited
Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation
Xiaohui Song, Longtao Huang, Hui Xue +1
Capturing emotions within a conversation plays an essential role in modern dialogue systems. However, the weak correlation between emotions and semantics brings many challenges to…
cs.CL2022
An Automated Question-Answering Framework Based on Evolution Algorithm
Sinan Tan, Hui Xue, Qiyu Ren +2
Building a deep learning model for a Question-Answering (QA) task requires a lot of human effort, it may need several months to carefully tune various model architectures and find…