13 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 2 cited
Sniff AI: Is My 'Spicy' Your 'Spicy'? Exploring LLM's Perceptual Alignment with Human Smell Experiences
Shu Zhong, Zetao Zhou, Christopher Dawes +2
Aligning AI with human intent is important, yet perceptual alignment-how AI interprets what we see, hear, or smell-remains underexplored. This work focuses on olfaction, human smel…
cs.HC2024★ 13 cited
LLM-Mediated Domain-Specific Voice Agents: The Case of TextileBot
Shu Zhong, Elia Gatti, James Hardwick +3
Developing domain-specific conversational agents (CAs) has been challenged by the need for extensive domain-focused data. Recent advancements in Large Language Models (LLMs) make t…
cs.DL2023★ 3 cited
TextileNet: A Material Taxonomy-based Fashion Textile Dataset
Shu Zhong, Miriam Ribul, Youngjun Cho +1
The rise of Machine Learning (ML) is gradually digitalizing and reshaping the fashion industry. Recent years have witnessed a number of fashion AI applications, for example, virtua…