8 citations · 8 across the 3 of their papers we have counts for
3 papers
Towards Artwork Explanation in Large-scale Vision Language Models
Kazuki Hayashi, Yusuke Sakai, Hidetaka Kamigaito +2
Large-scale Vision-Language Models (LVLMs) output text from images and instructions, demonstrating capabilities in text generation and comprehension. However, it has not been clari…
Deep Lake: a Lakehouse for Deep Learning
Sasun Hambardzumyan, Abhinav Tuli, Levon Ghukasyan +8
Traditional data lakes provide critical data infrastructure for analytical workloads by enabling time travel, running SQL queries, ingesting data with ACID transactions, and visual…
TableQuery: Querying tabular data with natural language
Abhijith Neil Abraham, Fariz Rahman, Damanpreet Kaur
This paper presents TableQuery, a novel tool for querying tabular data using deep learning models pre-trained to answer questions on free text. Existing deep learning methods for q…