Enhancing vision-language pre-training with rich supervisions
Abstract We propose Strongly Supervised pre-training with ScreenShots (S4)-a novel pre-
training paradigm for Vision-Language Models using data from large-scale web screenshot …
training paradigm for Vision-Language Models using data from large-scale web screenshot …
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding
In recent years, notable advancements have been made in the domain of visual document
understanding, with the prevailing architecture comprising a cascade of vision and language …
understanding, with the prevailing architecture comprising a cascade of vision and language …
Improving Multi-Agent Debate with Sparse Communication Topology
Multi-agent debate has proven effective in improving large language models quality for
reasoning and factuality tasks. While various role-playing strategies in multi-agent debates …
reasoning and factuality tasks. While various role-playing strategies in multi-agent debates …