CONVERSATIONAL AI
NLP
Lumos : Empowering Multimodal LLMs with Scene Text Recognition
August 20, 2024
Abstract
We introduce Lumos, the first end-to-end multimodal question-answering system with text understanding capabilities. At the core of Lumos is a Scene Text Recognition (STR) component that extracts text from first person point-of-view images, the output of which is used to augment input to a Multimodal Large Language Model (MM-LLM). While building Lumos, we encountered numerous challenges related to STR quality, overall latency, and model inference. In this paper, we delve into those challenges, and discuss the system architecture, design choices, and modeling techniques employed to overcome these obstacles. We also provide a comprehensive evaluation for each component, showcasing high quality and efficiency.
AUTHORS
Written by
Yichao Lu
Srihari Jayakumar
Debojeet Chatterjee
Mohsen Moslehpour
Pierce Chuang
Abhay Harpale
Vikas Bhardwaj
Di Xu
Shicong Zhao
Ankit Ramchandani
Luna Dong
Anuj Kumar
Publisher
KDD
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