7 citations · 7 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
TSAM: A Two-Stream Attention Model for Causal Emotion Entailment
Duzhen Zhang, Zhen Yang, Fandong Meng +2
Causal Emotion Entailment (CEE) aims to discover the potential causes behind an emotion in a conversational utterance. Previous works formalize CEE as independent utterance pair cl…