Search Results for author:
Found 9 papers, 3 papers with code
iScore: Visual Analytics for Interpreting How Language Models Automatically Score Summaries
The recent explosion in popularity of large language models (LLMs) has inspired learning engineers to incorporate them into adaptive educational tools that automatically score summary writing.
KnowledgeVIS: Interpreting Language Models by Comparing Fill-in-the-Blank Prompts
Recent growth in the popularity of large language models has led to their increased usage for summarizing, predicting, and generating text, making it vital to help researchers and engineers understand how and why they work.
CACTUS: Detecting and Resolving Conflicts in Objective Functions
Furthermore, we demonstrate our approach in a VA system that helps users in specifying meaningful objective functions to a classifier by detecting and resolving conflicting objectives and constraints.
A Comparative Analysis of Industry Human-AI Interaction Guidelines
We have then used this framework to compare each of the surveyed companies to find differences in areas of emphasis.
Human-Computer Interaction
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations
This paper systematically derives design dimensions for the structured evaluation of explainable artificial intelligence (XAI) approaches.
CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs
In this paper, we present CAVA, a system that integrates data curation and data augmentation with the traditional data exploration and analysis tasks, enabling information foraging in-situ during analysis.
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.
TopicSifter: Interactive Search Space Reduction Through Targeted Topic Modeling
Topic modeling is commonly used to analyze and understand large document collections.
A User-based Visual Analytics Workflow for Exploratory Model Analysis
We found that our system workflow enabled users to generate complex models, to assess them for various qualities, and to select the most relevant model for their task.
