124 citations · 453 across the 18 of their papers we have counts for
18 papers
POEM: Interactive Prompt Optimization for Enhancing Multimodal Reasoning of Large Language Models
Jianben He, Xingbo Wang, Shiyi Liu +3
Large language models (LLMs) have exhibited impressive abilities for multimodal content comprehension and reasoning with proper prompting in zero- or few-shot settings. Despite the…
CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels
Chi-hsuan Wu, Shih-yang Liu, Xijie Huang +6
Online learning is a rapidly growing industry. However, a major doubt about online learning is whether students are as engaged as they are in face-to-face classes. An engagement re…
PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation
Yingchaojie Feng, Xingbo Wang, Kam Kwai Wong +5
Generative text-to-image models have gained great popularity among the public for their powerful capability to generate high-quality images based on natural language prompts. Howev…
Storyfier: Exploring Vocabulary Learning Support with Text Generation Models
Zhenhui Peng, Xingbo Wang, Qiushi Han +3
Vocabulary learning support tools have widely exploited existing materials, e.g., stories or video clips, as contexts to help users memorize each target word. However, these tools…
VideoPro: A Visual Analytics Approach for Interactive Video Programming
Jianben He, Xingbo Wang, Kam Kwai Wong +6
Constructing supervised machine learning models for real-world video analysis require substantial labeled data, which is costly to acquire due to scarce domain expertise and labori…
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models
Xingbo Wang, Renfei Huang, Zhihua Jin +2
Recently, large pretrained language models have achieved compelling performance on commonsense benchmarks. Nevertheless, it is unclear what commonsense knowledge the models learn a…
Anchorage: Visual Analysis of Satisfaction in Customer Service Videos via Anchor Events
Kam Kwai Wong, Xingbo Wang, Yong Wang +3
Delivering customer services through video communications has brought new opportunities to analyze customer satisfaction for quality management. However, due to the lack of reliabl…
XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis
Yingchaojie Feng, Xingbo Wang, Bo Pan +7
Natural language interfaces (NLIs) enable users to flexibly specify analytical intentions in data visualization. However, diagnosing the visualization results without understanding…
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset
Zhihua Jin, Xingbo Wang, Furui Cheng +3
Benchmark datasets play an important role in evaluating Natural Language Understanding (NLU) models. However, shortcuts -- unwanted biases in the benchmark datasets -- can damage t…
MultiViz: Towards Visualizing and Understanding Multimodal Models
Paul Pu Liang, Yiwei Lyu, Gunjan Chhablani +5
The promise of multimodal models for real-world applications has inspired research in visualizing and understanding their internal mechanics with the end goal of empowering stakeho…
GestureLens: Visual Analysis of Gestures in Presentation Videos
Haipeng Zeng, Xingbo Wang, Yong Wang +3
Appropriate gestures can enhance message delivery and audience engagement in both daily communication and public presentations. In this paper, we contribute a visual analytic appro…
Persua: A Visual Interactive System to Enhance the Persuasiveness of Arguments in Online Discussion
Meng Xia, Qian Zhu, Xingbo Wang +3
Persuading people to change their opinions is a common practice in online discussion forums on topics ranging from political campaigns to relationship consultation. Enhancing peopl…
Beyond Interestingness: Semantic and Context-Aware Natural Language Query Recommendations for Visual Data Analysis
Xingbo Wang, Siyuan Li, Furui Cheng +5
Recent advances in large language models (LLMs) have made natural language interfaces (NLIs) widely accessible for data exploration, yet analysts who have a broad analytical object…
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
Zhihua Jin, Xin Jiang, Xingbo Wang +4
Existing generative pre-trained language models (e.g., GPT) focus on modeling the language structure and semantics of general texts. However, those models do not consider the numer…
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
Xingbo Wang, Jianben He, Zhihua Jin +3
Multimodal sentiment analysis aims to recognize people's attitudes from multiple communication channels such as verbal content (i.e., text), voice, and facial expressions. It has b…
DeHumor: Visual Analytics for Decomposing Humor
Xingbo Wang, Yao Ming, Tongshuang Wu +3
Despite being a critical communication skill, grasping humor is challenging -- a successful use of humor requires a mixture of both engaging content build-up and an appropriate voc…
VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking
Xingbo Wang, Haipeng Zeng, Yong Wang +4
The modulation of voice properties, such as pitch, volume, and speed, is crucial for delivering a successful public speech. However, it is challenging to master different voice mod…
EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos
Haipeng Zeng, Xingbo Wang, Aoyu Wu +4
Emotions play a key role in human communication and public presentations. Human emotions are usually expressed through multiple modalities. Therefore, exploring multimodal emotions…