PageGuide: Browser Extension to Assist Users in Navigating a Webpage and Locating Information
Users browsing the web daily struggle to quickly locate relevant information in cluttered pages, complete unfamiliar multi-step tasks, and stay...
Human-Computer Interaction
SketchVLM: Vision-Language Models Can Annotate Images to Explain Thoughts and Guide Users
When answering questions about images, humans naturally point, label, and draw to explain their reasoning. In contrast, modern vision-language models...
Improving Human Verification of LLM Reasoning through Interactive Explanation Interfaces
The reasoning capabilities of Large Language Models (LLMs) have led to their increasing employment in several critical applications, particularly education,...
Interpretable LLM-based Table Question Answering
Interpretability for Table Question Answering (Table QA) is critical, particularly in high-stakes industries like finance or healthcare. Although recent approaches...
HoT: Highlighted Chain of Thought for Referencing Supporting Facts from Inputs
An Achilles heel of Large Language Models (LLMs) is their tendency to hallucinate nonfactual statements. A response mixed of factual...
Explaining image classifiers by removing input features using generative models
Interpretability methods often measure the contribution of an input feature to an image classifier’s decisions by heuristically removing it via...
3DTouch: A Wearable 3D Input Device for 3D Applications
3D applications appear in every corner of life in the current technology era. There is a need for an ubiquitous...