Multimodal Large Language Models (MLLMs) are gaining increasing popularity in both
academia and industry due to their remarkable performance in various applications such as …

The advent of large language models (LLMs) revolutionized natural language processing
applications, and running LLMs on edge devices has become increasingly attractive for …

In the quest for artificial general intelligence, Multi-modal Large Language Models (MLLMs)
have emerged as a focal point in recent advancements. However, the predominant focus …

Large language models have demonstrated impressive universal capabilities across a wide
range of open-ended tasks and have extended their utility to encompass multimodal …

There has been tremendous progress in multimodal Large Language Models (LLMs).
Recent works have extended these models to video input with promising instruction …

With the burgeoning growth of online video platforms and the escalating volume of video
content, the demand for proficient video understanding tools has intensified markedly. Given …

Rapid advancements have been made in extending Large Language Models (LLMs) to
Large Multi-modal Models (LMMs). However, extending input modality of LLMs to video data …

Recent progress in multimodal large language models has markedly enhanced the
understanding of short videos (typically under one minute), and several evaluation datasets …

Despite the effectiveness of vision-language supervised fine-tuning in enhancing the
performance of vision large language models (VLLMs), existing visual instruction tuning …

Multimodal Large Language Models (MLLMs) have shown promising progress in
understanding and analyzing video content. However, processing long videos remains a …