Search Results for author:
Found 16 papers, 4 papers with code
CMOSE: Comprehensive Multi-Modality Online Student Engagement Dataset with High-Quality Labels
We also developed a training mechanism, MocoRank, to handle the intra-class variation, the ordinal relationship between different classes, and the data imbalance problem.
Storyfier: Exploring Vocabulary Learning Support with Text Generation Models
Vocabulary learning support tools have widely exploited existing materials, e. g., stories or video clips, as contexts to help users memorize each target word.
VideoPro: A Visual Analytics Approach for Interactive Video Programming
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 laborious manual inspection.
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models
Specifically, we extract relevant commonsense knowledge in inputs as references to align model behavior with human knowledge.
PromptMagician: Interactive Prompt Engineering for Text-to-Image Creation
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.
XNLI: Explaining and Diagnosing NLI-based Visual Data Analysis
Our research explores how to provide explanations for NLIs to help users locate the problems and further revise the queries.
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset
Since shortcuts vary in coverage, productivity, and semantic meaning, it is challenging for NLU experts to systematically understand and avoid them when creating benchmark datasets.
MultiViz: Towards Visualizing and Understanding Multimodal Models
How can we visualize the internal modeling of multimodal interactions in these models?
GestureLens: Visual Analysis of Gestures in Presentation Videos
There lacks an efficient method to help users conduct gesture exploration, which is challenging due to the intrinsically temporal evolution of gestures and their complex correlation to speech content.
Persua: A Visual Interactive System to Enhance the Persuasiveness of Arguments in Online Discussion
In this paper, we derived four design goals for a tool that helps users improve the persuasiveness of arguments in online discussions through a survey with 123 online forum users and interviews with five debating experts.
Interactive Data Analysis with Next-step Natural Language Query Recommendation
Natural language interfaces (NLIs) provide users with a convenient way to interactively analyze data through natural language queries.
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
However, those models do not consider the numerical properties of numbers and cannot perform robustly on numerical reasoning tasks (e. g., math word problems and measurement estimation).
DeHumor: Visual Analytics for Decomposing Humor
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 vocal delivery (e. g., pause).
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis
Much research focuses on modeling the complex intra- and inter-modal interactions between different communication channels.
VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking
The modulation of voice properties, such as pitch, volume, and speed, is crucial for delivering a successful public speech.
EmoCo: Visual Analysis of Emotion Coherence in Presentation Videos
Our visualization system features a channel coherence view and a sentence clustering view that together enable users to obtain a quick overview of emotion coherence and its temporal evolution.
