activity
20182025
most citedExplicit Contextual Semantics for Text Comprehension

27 citations · 93 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2025

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…

cs.LG2024

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…

cs.CL2024★ 1 cited

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…

cs.CL2021★ 1 cited

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…

cs.CL2021★ 4 cited

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…

cs.CL2020★ 11 cited

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…