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...
Human-Computer Interaction
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...