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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 …
A comprehensive review of multimodal large language models: Performance and challenges across different tasks
In an era defined by the explosive growth of data and rapid technological advancements,
Multimodal Large Language Models (MLLMs) stand at the forefront of artificial intelligence …
Multimodal Large Language Models (MLLMs) stand at the forefront of artificial intelligence …
Vlmevalkit: An open-source toolkit for evaluating large multi-modality models
We present VLMEvalKit: an open-source toolkit for evaluating large multi-modality models
based on PyTorch. The toolkit aims to provide a user-friendly and comprehensive framework …
based on PyTorch. The toolkit aims to provide a user-friendly and comprehensive framework …
Wavllm: Towards robust and adaptive speech large language model
The recent advancements in large language models (LLMs) have revolutionized the field of
natural language processing, progressively broadening their scope to multimodal …
natural language processing, progressively broadening their scope to multimodal …
Llama-omni: Seamless speech interaction with large language models
Models like GPT-4o enable real-time interaction with large language models (LLMs) through
speech, significantly enhancing user experience compared to traditional text-based …
speech, significantly enhancing user experience compared to traditional text-based …
Lauragpt: Listen, attend, understand, and regenerate audio with gpt
Generative Pre-trained Transformer (GPT) models have achieved remarkable performance
on various natural language processing tasks, and have shown great potential as …
on various natural language processing tasks, and have shown great potential as …
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 …
Wavtokenizer: an efficient acoustic discrete codec tokenizer for audio language modeling
Language models have been effectively applied to modeling natural signals, such as
images, video, speech, and audio. A crucial component of these models is the codec …
images, video, speech, and audio. A crucial component of these models is the codec …
Speechverse: A large-scale generalizable audio language model
Large language models (LLMs) have shown incredible proficiency in performing tasks that
require semantic understanding of natural language instructions. Recently, many works …
require semantic understanding of natural language instructions. Recently, many works …
Audiobench: A universal benchmark for audio large language models
We introduce AudioBench, a universal benchmark designed to evaluate Audio Large
Language Models (AudioLLMs). It encompasses 8 distinct tasks and 26 datasets, among …
Language Models (AudioLLMs). It encompasses 8 distinct tasks and 26 datasets, among …