3 citations · 4 across the 10 of their papers we have counts for
3 papers · 1 filter
Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets
Desiree Heim, Christian Jilek, Adrian Ulges +1
Current publicly available knowledge work data collections lack diversity, extensive annotations, and contextual information about the users and their documents. These issues hinde…
Feature Estimation of Global Language Processing in EEG Using Attention Maps
Dai Shimizu, Ko Watanabe, Andreas Dengel
Understanding the correlation between EEG features and cognitive tasks is crucial for elucidating brain function. Brain activity synchronizes during speaking and listening tasks. H…
Edge-based Denoising Image Compression
Ryugo Morita, Hitoshi Nishimura, Ko Watanabe +2
In recent years, deep learning-based image compression, particularly through generative models, has emerged as a pivotal area of research. Despite significant advancements, challen…