:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

Mobile-Agent: The Powerful GUI Agent Family

StarVector is a foundation model for SVG generation that transforms vectorization into a code generation task. Using a vision-language modeling architecture, StarVector processes both visual and textual inputs to produce high-quality SVG code with remarkable precision.

LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

A cross-platform video structuring (video analysis) framework. If you find it helpful, please give it a star: ) 跨平台的视频结构化（视频分析）框架，觉得有帮助的请给个星星 : )

✨✨[NeurIPS 2025] VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

[ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (RPG)

Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning, achieving state-of-the-art performance on 38 out of 60 public benchmarks.

A novel Multimodal Large Language Model (MLLM) architecture, designed to structurally align visual and textual embeddings.

实时交互数字人，可自定义形象与音色，支持音色克隆，对话延迟低至3s。Real-time voice interactive digital human, customizable appearance and voice, supporting voice cloning, with initial package delay as low as 3s.

Awesome Unified Multimodal Models

A family of lightweight multimodal models.

PyTorch implementation of Audio Flamingo: Series of Advanced Audio Understanding Language Models

A Framework for Speech, Language, Audio, Music Processing with Large Language Model

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey

A collection of resources on applications of multi-modal learning in medical imaging.

Fun-ASR is an end-to-end speech recognition large model launched by Tongyi Lab.

LLaVA-Plus: Large Language and Vision Assistants that Plug and Learn to Use Skills

✨✨[CVPR 2025] Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Large-Scale Visual Representation Model

[CVPR 2024] MovieChat: From Dense Token to Sparse Memory for Long Video Understanding

NEO Series: Native Vision-Language Models from First Principles

✨✨Woodpecker: Hallucination Correction for Multimodal Large Language Models

Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train your own 8B/14B LLaVA-training-like MLLM on RTX3090/4090 24GB.

(Accepted by IJCV) Liquid: Language Models are Scalable and Unified Multi-modal Generators

OmniVinci is an omni-modal LLM for joint understanding of vision, audio, and language.

NeurIPS 2024 Paper: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing

LLaVA-Mini is a unified large multimodal model (LMM) that can support the understanding of images, high-resolution images, and videos in an efficient manner.