3 papers
cs.CL2023
TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models
Zhen Yang, Yingxue Zhang, Fandong Meng +1
Despite Multi-modal Large Language Models (MM-LLMs) have made exciting strides recently, they are still struggling to efficiently model the interactions among multi-modal inputs an…
cs.CL2023
Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information
Yun Luo, Zhen Yang, Fandong Meng +3
Argument structure extraction (ASE) aims to identify the discourse structure of arguments within documents. Previous research has demonstrated that contextual information is crucia…
cs.CL2023
XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners
Yun Luo, Zhen Yang, Fandong Meng +5
Active learning (AL), which aims to construct an effective training set by iteratively curating the most formative unlabeled data for annotation, has been widely used in low-resour…