1 citations · 1 across the 5 of their papers we have counts for
5 papers
Domain-specific Guided Summarization for Mental Health Posts
Lu Qian, Yuqi Wang, Zimu Wang +4
In domain-specific contexts, particularly mental health, abstractive summarization requires advanced techniques adept at handling specialized content to generate domain-relevant an…
Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter
Zeqiang Wang, Jiageng Wu, Yuqi Wang +5
Social media is recognized as an important source for deriving insights into public opinion dynamics and social impacts due to the vast textual data generated daily and the 'uncons…
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness
Yuqi Wang, Zeqiang Wang, Wei Wang +4
Safe and reliable natural language inference is critical for extracting insights from clinical trial reports but poses challenges due to biases in large pre-trained language models…
Generating Valid and Natural Adversarial Examples with Large Language Models
Zimu Wang, Wei Wang, Qi Chen +2
Deep learning-based natural language processing (NLP) models, particularly pre-trained language models (PLMs), have been revealed to be vulnerable to adversarial attacks. However,…
Zero-Shot Medical Information Retrieval via Knowledge Graph Embedding
Yuqi Wang, Zeqiang Wang, Wei Wang +4
In the era of the Internet of Things (IoT), the retrieval of relevant medical information has become essential for efficient clinical decision-making. This paper introduces MedFusi…