activity
20242026
most citedVITA: Towards Open-Source Interactive Omni Multimodal LLM

5 citations · 5 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

STBridge: Shared-Target Alignment for Bridging Understanding and Generation in UMMs

Ye Wang, Hongjun Wang, Hao Fang +7

Unified multimodal models (UMMs) aim to integrate visual understanding and generation within a single architecture, but architectural unification alone does not ensure semantic con…

cs.AI2026

Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process

Zican Hu, Xuyang Hu, Yiming Liu +10

Unified multi-modal models (UMMs) have shown promising interleaved text-image reasoning capabilities, yet effectively optimizing such multi-turn generation via reinforcement learni…

cs.CV2026

Omni-Diffusion: Unified Multimodal Understanding and Generation with Masked Discrete Diffusion

Lijiang Li, Zuwei Long, Yunhang Shen +6

While recent multimodal large language models (MLLMs) have made impressive strides, they predominantly employ a conventional autoregressive architecture as their backbone, leaving…

cs.CV2026

Youtu-VL: Unleashing Visual Potential via Unified Vision-Language Supervision

Zhixiang Wei, Yi Li, Zhehan Kan +38

Despite the significant advancements represented by Vision-Language Models (VLMs), current architectures often exhibit limitations in retaining fine-grained visual information, lea…

cs.CL2025

DeepOmni: Towards Seamless and Smart Speech Interaction with Adaptive Modality-Specific MoE

Hang Shao, Heting Gao, Yunhang Shen +5

Native multimodal large language models (MLLMs) restructure a single large language model (LLM) into a spoken language model (SLM) capable of both speech and text generation. Compa…

cs.CL2025

VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model

Zuwei Long, Yunhang Shen, Chaoyou Fu +11

With the growing requirement for natural human-computer interaction, speech-based systems receive increasing attention as speech is one of the most common forms of daily communicat…

cs.CL2025

LUCY: Linguistic Understanding and Control Yielding Early Stage of Her

Heting Gao, Hang Shao, Xiong Wang +12

The film Her features Samantha, a sophisticated AI audio agent who is capable of understanding both linguistic and paralinguistic information in human speech and delivering real-ti…

cs.CV2025

VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction

Chaoyou Fu, Haojia Lin, Xiong Wang +13

Recent Multimodal Large Language Models (MLLMs) have typically focused on integrating visual and textual modalities, with less emphasis placed on the role of speech in enhancing in…

cs.CV2024

Sparrow: Data-Efficient Video-LLM with Text-to-Image Augmentation

Shukang Yin, Chaoyou Fu, Sirui Zhao +7

Recent years have seen the success of Multimodal Large Language Models (MLLMs) in the domain of vision understanding. The success of these models can largely be attributed to the d…

cs.CV2024★ 5 cited

VITA: Towards Open-Source Interactive Omni Multimodal LLM

Chaoyou Fu, Haojia Lin, Zuwei Long +16

The remarkable multimodal capabilities and interactive experience of GPT-4o underscore their necessity in practical applications, yet open-source models rarely excel in both areas.…