13 citations · 17 across the 2 of their papers we have counts for
3 papers
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…
cs.CL2023★ 13 cited
Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages
Jinyi Hu, Yuan Yao, Chongyi Wang +13
Recently there has been a significant surge in multimodal learning in terms of both image-to-text and text-to-image generation. However, the success is typically limited to English…
cond-mat.mtrl-sci2023
Flexible, Model-Agnostic Method for Materials Data Extraction from Text Using General Purpose Language Models
Maciej P. Polak, Shrey Modi, Anna Latosinska +5
Accurate and comprehensive material databases extracted from research papers are crucial for materials science and engineering, but their development requires significant human eff…