23 citations · 30 across the 19 of their papers we have counts for
4 papers · 1 filter
I Can Tell What I am Doing: Toward Real-World Natural Language Grounding of Robot Experiences
Zihan Wang, Brian Liang, Varad Dhat +4
Understanding robot behaviors and experiences through natural language is crucial for developing intelligent and transparent robotic systems. Recent advancement in large language m…
Wide Neural Networks Trained with Weight Decay Provably Exhibit Neural Collapse
Arthur Jacot, Peter Súkeník, Zihan Wang +1
Deep neural networks (DNNs) at convergence consistently represent the training data in the last layer via a highly symmetric geometric structure referred to as neural collapse. Thi…
Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering
Haoran Yu, Chang Yu, Zihan Wang +2
In recent years, the application of Large Language Models (LLMs) in healthcare has shown significant promise in improving the accessibility and dissemination of medical knowledge.…
Advancing Continual Learning for Robust Deepfake Audio Classification
Feiyi Dong, Qingchen Tang, Yichen Bai +1
The emergence of new spoofing attacks poses an increasing challenge to audio security. Current detection methods often falter when faced with unseen spoofing attacks. Traditional s…