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
Abhay Harpale
Ankit Ramchandani
Anuj Kumar
Debojeet Chatterjee
Di Xu
Luna Dong
Mohsen Moslehpour
Pierce Chuang
Shicong Zhao
Srihari Jayakumar
Vikas Bhardwaj
Yichao Lu
Publisher
KDD
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