A comprehensive survey on generative diffusion models for structured data
In recent years, generative diffusion models have achieved a rapid paradigm shift in deep
generative models by showing groundbreaking performance across various applications …
generative models by showing groundbreaking performance across various applications …
A Survey on Generative Diffusion Models for Structured Data
H Koo - arXiv preprint arXiv:2306.04139, 2023 - arxiv.org
In recent years, generative diffusion models have achieved a rapid paradigm shift in deep
generative models by showing groundbreaking performance across various applications …
generative models by showing groundbreaking performance across various applications …
Lexical Entrainment for Conversational Systems
Conversational agents have become ubiquitous in assisting with daily tasks, and are
expected to possess human-like features. One such feature is lexical entrainment (LE), a …
expected to possess human-like features. One such feature is lexical entrainment (LE), a …
Multimodal learned sparse retrieval for image suggestion
T Nguyen, M Hendriksen, A Yates - arXiv preprint arXiv:2402.07736, 2024 - arxiv.org
Learned Sparse Retrieval (LSR) is a group of neural methods designed to encode queries
and documents into sparse lexical vectors. These vectors can be efficiently indexed and …
and documents into sparse lexical vectors. These vectors can be efficiently indexed and …