A reference page for all things Optical Character Recognition (OCR) using Large Language & Vision Models

Explore the critical challenge of uncertainty quantification in large language models. Learn about confidence estimation techniques, calibration metrics like ECE and MCE, and practical methods to improve model reliability from logit-based approaches to ensemble methods and post-hoc calibration.

A comprehensive guide to effectively reading and understanding research papers, with practical strategies for navigating dense academic literature.

A comprehensive survey of multimodal large language models from 2021 to 2024, covering encoder-only models, encoder-decoder architectures, decoder-only models, and specialized applications for documents and screens.