335 citations · 1.2k across the 81 of their papers we have counts for
90 papers
Hallucination-Free Automatic Question & Answer Generation for Intuitive Learning
Nicholas X. Wang, Aggelos K. Katsaggelos
Hallucinations in large language models (LLMs), defined as fluent yet incorrect or incoherent outputs, pose a significant challenge to the automatic generation of educational multi…
Automatic Question Generation for Intuitive Learning Utilizing Causal Graph Guided Chain of Thought Reasoning
Nicholas X. Wang, Neel V. Parpia, Aaryan D. Parikh +1
Intuitive learning is crucial for developing deep conceptual understanding, especially in STEM education, where students often struggle with abstract and interconnected concepts. A…
Physics-Informed Image Restoration via Progressive PDE Integration
Shamika Likhite, Santiago López-Tapia, Aggelos K. Katsaggelos
Motion blur, caused by relative movement between camera and scene during exposure, significantly degrades image quality and impairs downstream computer vision tasks such as object…
Caption-Driven Explainability: Probing CNNs for Bias via CLIP
Patrick Koller, Amil V. Dravid, Guido M. Schuster +1
Robustness has become one of the most critical problems in machine learning (ML). The science of interpreting ML models to understand their behavior and improve their robustness is…
Hunting for new glitches in LIGO data using community science
E Mackenzie, C P L Berry, G Niklasch +5
Data from ground-based gravitational-wave detectors like LIGO contain many types of noise. Glitches are short bursts of non-Gaussian noise that may hinder our ability to identify o…
THOR: Thermal-guided Hand-Object Reasoning via Adaptive Vision Sampling
Soroush Shahi, Farzad Shahabi, Rama Nabulsi +3
Wearable cameras are increasingly used as an observational and interventional tool for human behaviors by providing detailed visual data of hand-related activities. This data can b…