5 papers
Benchmarking Deep Learning Models for Laryngeal Cancer Staging Using the LaryngealCT Dataset
Nivea Roy, Son Tran, Atul Sajjanhar +4
Laryngeal cancer imaging research lacks standardised public datasets to enable reproducible deep learning (DL) model development. We present LaryngealCT, a curated benchmark of 1,0…
Large Language Models: A Mathematical Formulation
Ricardo Baptista, Andrew Stuart, Son Tran
Large language models (LLMs) process and predict sequences containing text to answer questions, and address tasks including document summarization, providing recommendations, writi…
Conversations Gone Awry, But Then? Evaluating Conversational Forecasting Models
Son Quoc Tran, Tushaar Gangavarapu, Nicholas Chernogor +2
We often rely on our intuition to anticipate the direction of a conversation. Endowing automated systems with similar foresight can enable them to assist human-human interactions.…
A Mathematical Perspective On Contrastive Learning
Ricardo Baptista, Andrew M. Stuart, Son Tran
Multimodal contrastive learning is a methodology for linking different data modalities; the canonical example is linking image and text data. The methodology is typically framed as…
Reasoning in Neurosymbolic AI
Son Tran, Edjard Mota, Artur d'Avila Garcez
Knowledge representation and reasoning in neural networks have been a long-standing endeavor which has attracted much attention recently. The principled integration of reasoning an…