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.

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AUTHORS

Written by

Ashish Shenoy

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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