How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites
In this paper, we introduce InternVL 1.5, an open-source multimodal large language model
(MLLM) to bridge the capability gap between open-source and proprietary commercial …
(MLLM) to bridge the capability gap between open-source and proprietary commercial …
Knowledge graphs meet multi-modal learning: A comprehensive survey
Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …
semantic web community's exploration into multi-modal dimensions unlocking new avenues …
Deepseek-vl: towards real-world vision-language understanding
We present DeepSeek-VL, an open-source Vision-Language (VL) Model designed for real-
world vision and language understanding applications. Our approach is structured around …
world vision and language understanding applications. Our approach is structured around …
Llava-uhd: an lmm perceiving any aspect ratio and high-resolution images
Visual encoding constitutes the basis of large multimodal models (LMMs) in understanding
the visual world. Conventional LMMs process images in fixed sizes and limited resolutions …
the visual world. Conventional LMMs process images in fixed sizes and limited resolutions …
Internlm-xcomposer-2.5: A versatile large vision language model supporting long-contextual input and output
We present InternLM-XComposer-2.5 (IXC-2.5), a versatile large-vision language model that
supports long-contextual input and output. IXC-2.5 excels in various text-image …
supports long-contextual input and output. IXC-2.5 excels in various text-image …
Internlm-xcomposer2: Mastering free-form text-image composition and comprehension in vision-language large model
We introduce InternLM-XComposer2, a cutting-edge vision-language model excelling in free-
form text-image composition and comprehension. This model goes beyond conventional …
form text-image composition and comprehension. This model goes beyond conventional …
[HTML][HTML] Multimodal large language models in health care: applications, challenges, and future outlook
In the complex and multidimensional field of medicine, multimodal data are prevalent and
crucial for informed clinical decisions. Multimodal data span a broad spectrum of data types …
crucial for informed clinical decisions. Multimodal data span a broad spectrum of data types …
Kosmos-2.5: A multimodal literate model
The automatic reading of text-intensive images represents a significant advancement toward
achieving Artificial General Intelligence (AGI). In this paper we present KOSMOS-2.5, a …
achieving Artificial General Intelligence (AGI). In this paper we present KOSMOS-2.5, a …
A survey of multimodal large language model from a data-centric perspective
Multimodal large language models (MLLMs) enhance the capabilities of standard large
language models by integrating and processing data from multiple modalities, including text …
language models by integrating and processing data from multiple modalities, including text …
Mobilevlm v2: Faster and stronger baseline for vision language model
We introduce MobileVLM V2, a family of significantly improved vision language models
upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an …
upon MobileVLM, which proves that a delicate orchestration of novel architectural design, an …