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Meteor: Mamba-based traversal of rationale for large language and vision models
The rapid development of large language and vision models (LLVMs) has been driven by
advances in visual instruction tuning. Recently, open-source LLVMs have curated high …
advances in visual instruction tuning. Recently, open-source LLVMs have curated high …
Efficient multimodal large language models: A survey
In the past year, Multimodal Large Language Models (MLLMs) have demonstrated
remarkable performance in tasks such as visual question answering, visual understanding …
remarkable performance in tasks such as visual question answering, visual understanding …
Eagle: Exploring the design space for multimodal llms with mixture of encoders
The ability to accurately interpret complex visual information is a crucial topic of multimodal
large language models (MLLMs). Recent work indicates that enhanced visual perception …
large language models (MLLMs). Recent work indicates that enhanced visual perception …
Learning visual prompts for guiding the attention of vision transformers
Visual prompting infuses visual information into the input image to adapt models toward
specific predictions and tasks. Recently, manually crafted markers such as red circles are …
specific predictions and tasks. Recently, manually crafted markers such as red circles are …
Metamorph: Multimodal understanding and generation via instruction tuning
In this work, we propose Visual-Predictive Instruction Tuning (VPiT)-a simple and effective
extension to visual instruction tuning that enables a pretrained LLM to quickly morph into an …
extension to visual instruction tuning that enables a pretrained LLM to quickly morph into an …
Diffusion feedback helps clip see better
Contrastive Language-Image Pre-training (CLIP), which excels at abstracting open-world
representations across domains and modalities, has become a foundation for a variety of …
representations across domains and modalities, has become a foundation for a variety of …
Trol: Traversal of layers for large language and vision models
Large language and vision models (LLVMs) have been driven by the generalization power
of large language models (LLMs) and the advent of visual instruction tuning. Along with …
of large language models (LLMs) and the advent of visual instruction tuning. Along with …
Phantom of latent for large language and vision models
The success of visual instruction tuning has accelerated the development of large language
and vision models (LLVMs). Following the scaling laws of instruction-tuned large language …
and vision models (LLVMs). Following the scaling laws of instruction-tuned large language …
Paligemma 2: A family of versatile vlms for transfer
PaliGemma 2 is an upgrade of the PaliGemma open Vision-Language Model (VLM) based
on the Gemma 2 family of language models. We combine the SigLIP-So400m vision …
on the Gemma 2 family of language models. We combine the SigLIP-So400m vision …
On Erroneous Agreements of CLIP Image Embeddings
Recent research suggests that the failures of Vision-Language Models (VLMs) at visual
reasoning often stem from erroneous agreements--when semantically distinct images are …
reasoning often stem from erroneous agreements--when semantically distinct images are …