720 citations · 722 across the 7 of their papers we have counts for
7 papers
Large Language Models have Chain-of-Affect
Junjie Xu, Xingjiao Wu, Luwei Xiao +11
As large language models (LLMs) move into persistent, user-facing roles, their behavior must be understood not as isolated responses but as a trajectory unfolding over sustained in…
DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding
Anran Wu, Luwei Xiao, Xingjiao Wu +6
Visually-situated languages such as charts and plots are omnipresent in real-world documents. These graphical depictions are human-readable and are often analyzed in visually-rich…
Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering
Shuwen Yang, Anran Wu, Xingjiao Wu +4
Pre-trained multimodal models have achieved significant success in retrieval-based question answering. However, current multimodal retrieval question-answering models face two main…
Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis
Luwei Xiao, Xingjiao Wu, Wen Wu +2
Nowadays, with the explosive growth of multimodal reviews on social media platforms, multimodal sentiment analysis has recently gained popularity because of its high relevance to t…
Cross-Domain Document Layout Analysis Using Document Style Guide
Xingjiao Wu, Luwei Xiao, Xiangcheng Du +5
The document layout analysis (DLA) aims to decompose document images into high-level semantic areas (i.e., figures, tables, texts, and background). Creating a DLA framework with st…
A Survey of Human-in-the-loop for Machine Learning
Xingjiao Wu, Luwei Xiao, Yixuan Sun +3
Human-in-the-loop aims to train an accurate prediction model with minimum cost by integrating human knowledge and experience. Humans can provide training data for machine learning…
Targeted aspect based multimodal sentiment analysis:an attention capsule extraction and multi-head fusion network
Jiaqian Wang, Donghong Gu, Chi Yang +4
Multimodal sentiment analysis has currently identified its significance in a variety of domains. For the purpose of sentiment analysis, different aspects of distinguishing modaliti…