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Mm-llms: Recent advances in multimodal large language models
In the past year, MultiModal Large Language Models (MM-LLMs) have undergone
substantial advancements, augmenting off-the-shelf LLMs to support MM inputs or outputs …
substantial advancements, augmenting off-the-shelf LLMs to support MM inputs or outputs …
From image to language: A critical analysis of visual question answering (vqa) approaches, challenges, and opportunities
The multimodal task of Visual Question Answering (VQA) encompassing elements of
Computer Vision (CV) and Natural Language Processing (NLP), aims to generate answers …
Computer Vision (CV) and Natural Language Processing (NLP), aims to generate answers …
Qwen technical report
Large language models (LLMs) have revolutionized the field of artificial intelligence,
enabling natural language processing tasks that were previously thought to be exclusive to …
enabling natural language processing tasks that were previously thought to be exclusive to …
The llama 3 herd of models
Modern artificial intelligence (AI) systems are powered by foundation models. This paper
presents a new set of foundation models, called Llama 3. It is a herd of language models …
presents a new set of foundation models, called Llama 3. It is a herd of language models …
Llama-adapter: Efficient fine-tuning of language models with zero-init attention
We present LLaMA-Adapter, a lightweight adaption method to efficiently fine-tune LLaMA
into an instruction-following model. Using 52K self-instruct demonstrations, LLaMA-Adapter …
into an instruction-following model. Using 52K self-instruct demonstrations, LLaMA-Adapter …
Mvbench: A comprehensive multi-modal video understanding benchmark
With the rapid development of Multi-modal Large Language Models (MLLMs) a number of
diagnostic benchmarks have recently emerged to evaluate the comprehension capabilities …
diagnostic benchmarks have recently emerged to evaluate the comprehension capabilities …
Cambrian-1: A fully open, vision-centric exploration of multimodal llms
We introduce Cambrian-1, a family of multimodal LLMs (MLLMs) designed with a vision-
centric approach. While stronger language models can enhance multimodal capabilities, the …
centric approach. While stronger language models can enhance multimodal capabilities, the …
What matters when building vision-language models?
The growing interest in vision-language models (VLMs) has been driven by improvements in
large language models and vision transformers. Despite the abundance of literature on this …
large language models and vision transformers. Despite the abundance of literature on this …
Cogagent: A visual language model for gui agents
People are spending an enormous amount of time on digital devices through graphical user
interfaces (GUIs) eg computer or smartphone screens. Large language models (LLMs) such …
interfaces (GUIs) eg computer or smartphone screens. Large language models (LLMs) such …
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 …