most citedFlexible, Model-Agnostic Method for Materials Data Extraction from Text Using General Purpose Language Models

35 citations · 52 across the 3 of their papers we have counts for

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cs.CV2023★ 4 cited

Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants

Tianyu Yu, Jinyi Hu, Yuan Yao +10

Recent Multimodal Large Language Models (MLLMs) exhibit impressive abilities to perceive images and follow open-ended instructions. The capabilities of MLLMs depend on two crucial…