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Explainable and interpretable multimodal large language models: A comprehensive survey
The rapid development of Artificial Intelligence (AI) has revolutionized numerous fields, with
large language models (LLMs) and computer vision (CV) systems driving advancements in …
large language models (LLMs) and computer vision (CV) systems driving advancements in …
Expanding performance boundaries of open-source multimodal models with model, data, and test-time scaling
We introduce InternVL 2.5, an advanced multimodal large language model (MLLM) series
that builds upon InternVL 2.0, maintaining its core model architecture while introducing …
that builds upon InternVL 2.0, maintaining its core model architecture while introducing …
Mm1. 5: Methods, analysis & insights from multimodal llm fine-tuning
We present MM1. 5, a new family of multimodal large language models (MLLMs) designed
to enhance capabilities in text-rich image understanding, visual referring and grounding …
to enhance capabilities in text-rich image understanding, visual referring and grounding …
Mini-InternVL: a flexible-transfer pocket multi-modal model with 5% parameters and 90% performance
Multi-modal large language models (MLLMs) have demonstrated impressive performance in
vision-language tasks across a wide range of domains. However, the large model scale and …
vision-language tasks across a wide range of domains. However, the large model scale and …
NVILA: Efficient frontier visual language models
Visual language models (VLMs) have made significant advances in accuracy in recent
years. However, their efficiency has received much less attention. This paper introduces …
years. However, their efficiency has received much less attention. This paper introduces …
Apollo: An exploration of video understanding in large multimodal models
Despite the rapid integration of video perception capabilities into Large Multimodal Models
(LMMs), the underlying mechanisms driving their video understanding remain poorly …
(LMMs), the underlying mechanisms driving their video understanding remain poorly …
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 …
Scaling inference-time search with vision value model for improved visual comprehension
Despite significant advancements in vision-language models (VLMs), there lacks effective
approaches to enhance response quality by scaling inference-time computation. This …
approaches to enhance response quality by scaling inference-time computation. This …
Your mixture-of-experts llm is secretly an embedding model for free
While large language models (LLMs) excel on generation tasks, their decoder-only
architecture often limits their potential as embedding models if no further representation …
architecture often limits their potential as embedding models if no further representation …
Do language models understand time?
Large language models (LLMs) have revolutionized video-based computer vision
applications, including action recognition, anomaly detection, and video summarization …
applications, including action recognition, anomaly detection, and video summarization …