… multimodal language-image instruction-following data. By instruction tuning on such generated
… for general-purpose visual and language understanding. To facilitate future research on …

… rethinking the conventional approaches and exploring the open problems in visual instruction
tuning, we pave the way for more robust and capable systems for LMMs. We hope these …

… the best available mimic of human visual intelligence to date. While multiple methods … tuning
using Visual Instructions (VI) [7, 13]. These methods align image tokens produced by visual …

… In this paper, we scale up visual instruction tuning by presenting a large-scale dataset – SVIT
that contains in total 4.2 million instruction tuning data. We also propose new data recipe of …

… fully leveraging the encoding capability of visual encoders. To this end, we propose to enhance
the visual instruction-tuned model end-to-end by collecting instruction-following data that …

… This contrasts with the original visual instruction tuning in which the models retained their …
for visual understanding. In this paper, we present the generative visual instruction tunining, in …

… We trained the VIGC network using two types of visual-language instruction fine-tuning data.
The first type, represented by the LLaVA dataset (Liu et al. 2023b), is manually curated and …

… Therefore, there is a pressing need for the development of more robust encoders for
mathematical images and the tuning of MLLMs with mathematical visual instructions, for which we …

… instructions, which further enhances the robustness and flexibility of Osprey’s response. By
taking advantage of visual instruction tuning… the pixel-level instruction tuning capability for fine…

… visual instruction tuning approach that encompasses three stages: Stage 1 focuses on
improving the instruction-following ability of the model by tuning … instructions, LLaVA instructions, …