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20242026
most citedOvis: Structural Embedding Alignment for Multimodal Large Language Model

4 citations · 7 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

OvisOCR2 Technical Report

Shiyin Lu, Yinglun Li, Yu Xia +10

We introduce OvisOCR2, a 0.8B document parsing model. OvisOCR2 is designed as an end-to-end parser: given a document page image, it generates a Markdown representation in natural r…

cs.CV2026

Walk the Talk: Bridging the Reasoning-Action Gap for Thinking with Images via Multimodal Agentic Policy Optimization

Wenhao Yang, Yu Xia, Jinlong Huang +10

Recent advancements in Multimodal Large Language Models (MLLMs) have incentivized models to ``think with images'' by actively invoking visual tools during multi-turn reasoning. The…

cs.CV2026

Deep But Reliable: Advancing Multi-turn Reasoning for Thinking with Images

Wenhao Yang, Yu Xia, Jinlong Huang +7

Recent advances in large Vision-Language Models (VLMs) have exhibited strong reasoning capabilities on complex visual tasks by thinking with images in their Chain-of-Thought (CoT),…

cs.CV2025

Ovis2.5 Technical Report

Shiyin Lu, Yang Li, Yu Xia +39

We present Ovis2.5, a successor to Ovis2 designed for native-resolution visual perception and strong multimodal reasoning. Ovis2.5 integrates a native-resolution vision transformer…

cs.CV2025

Ovis-U1 Technical Report

Guo-Hua Wang, Shanshan Zhao, Xinjie Zhang +9

In this report, we introduce Ovis-U1, a 3-billion-parameter unified model that integrates multimodal understanding, text-to-image generation, and image editing capabilities. Buildi…

cs.CV2025

MDP3: A Training-free Approach for List-wise Frame Selection in Video-LLMs

Hui Sun, Shiyin Lu, Huanyu Wang +5

Video large language models (Video-LLMs) have made significant progress in understanding videos. However, processing multiple frames leads to lengthy visual token sequences, presen…

cs.CV2024★ 4 cited

Ovis: Structural Embedding Alignment for Multimodal Large Language Model

Shiyin Lu, Yang Li, Qing-Guo Chen +4

Current Multimodal Large Language Models (MLLMs) typically integrate a pre-trained LLM with another pre-trained vision transformer through a connector, such as an MLP, endowing the…

cs.CV2024★ 1 cited

Parrot: Multilingual Visual Instruction Tuning

Hai-Long Sun, Da-Wei Zhou, Yang Li +8

The rapid development of Multimodal Large Language Models (MLLMs), such as GPT-4o, marks a significant step toward artificial general intelligence. Existing methods typically align…