18 citations · 23 across the 4 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CV2024
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
Sungnyun Kim, Haofu Liao, Srikar Appalaraju +6
Visual document understanding (VDU) is a challenging task that involves understanding documents across various modalities (text and image) and layouts (forms, tables, etc.). This s…
cs.CV2024★ 1 cited
RAVEN: Multitask Retrieval Augmented Vision-Language Learning
Varun Nagaraj Rao, Siddharth Choudhary, Aditya Deshpande +2
The scaling of large language models to encode all the world's knowledge in model parameters is unsustainable and has exacerbated resource barriers. Retrieval-Augmented Generation…