27 citations · 93 across the 9 of their papers we have counts for
9 papers
Large Language Models are Demonstration Pre-Selectors for Themselves
Jiarui Jin, Yuwei Wu, Haoxuan Li +6
In-context learning (ICL) with large language models (LLMs) delivers strong few-shot performance by choosing few-shot demonstrations from the entire training data. However, existin…
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs
Xindi Zheng, Yuwei Wu, Yu Pan +3
Missing data imputation poses a paramount challenge when dealing with graph data. Prior works typically are based on feature propagation or graph autoencoders to address this issue…
Evaluating the Performance of ChatGPT for Spam Email Detection
Shijing Si, Yuwei Wu, Le Tang +3
Email continues to be a pivotal and extensively utilized communication medium within professional and commercial domains. Nonetheless, the prevalence of spam emails poses a signifi…
GroupLink: An End-to-end Multitask Method for Word Grouping and Relation Extraction in Form Understanding
Zilong Wang, Mingjie Zhan, Houxing Ren +4
Forms are a common type of document in real life and carry rich information through textual contents and the organizational structure. To realize automatic processing of forms, wor…
SG-Net: Syntax Guided Transformer for Language Representation
Zhuosheng Zhang, Yuwei Wu, Junru Zhou +3
Understanding human language is one of the key themes of artificial intelligence. For language representation, the capacity of effectively modeling the linguistic knowledge from th…
Semi-Supervised Models via Data Augmentationfor Classifying Interactive Affective Responses
Jiaao Chen, Yuwei Wu, Diyi Yang
We present semi-supervised models with data augmentation (SMDA), a semi-supervised text classification system to classify interactive affective responses. SMDA utilizes recent tran…
Semantics-aware BERT for Language Understanding
Zhuosheng Zhang, Yuwei Wu, Hai Zhao +4
The latest work on language representations carefully integrates contextualized features into language model training, which enables a series of success especially in various machi…
SG-Net: Syntax-Guided Machine Reading Comprehension
Zhuosheng Zhang, Yuwei Wu, Junru Zhou +3
For machine reading comprehension, the capacity of effectively modeling the linguistic knowledge from the detail-riddled and lengthy passages and getting ride of the noises is esse…
Explicit Contextual Semantics for Text Comprehension
Zhuosheng Zhang, Yuwei Wu, Zuchao Li +1
Who did what to whom is a major focus in natural language understanding, which is right the aim of semantic role labeling (SRL) task. Despite of sharing a lot of processing charact…