Cover Image

Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Gen, Dou, Wenhan, Li, Wenhao, Wang, Zhaokai, Yang, Xue, Tian, Changyao, Li, Hao, Wang, Weiyun, Wang, Wenhai, Zhu, Xizhou, Qiao, Yu, Dai, Jifeng
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training
by: Luo, Gen, et al.
Published: (2024)

Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance
by: Gao, Zhangwei, et al.
Published: (2024)

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
by: Chen, Zhe, et al.
Published: (2023)

InternVL-U: Democratizing Unified Multimodal Models for Understanding, Reasoning, Generation and Editing
by: Tian, Changyao, et al.
Published: (2026)

InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
by: Wang, Weiyun, et al.
Published: (2025)

Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding
by: Wang, Zhaokai, et al.
Published: (2025)

InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
by: Zhu, Jinguo, et al.
Published: (2025)

SynerGen-VL: Towards Synergistic Image Understanding and Generation with Vision Experts and Token Folding
by: Li, Hao, et al.
Published: (2024)

InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression
by: Lu, Dongchen, et al.
Published: (2025)

GenExam: A Multidisciplinary Text-to-Image Exam
by: Wang, Zhaokai, et al.
Published: (2025)

Parameter-Inverted Image Pyramid Networks
by: Zhu, Xizhou, et al.
Published: (2024)

Driving with InternVL: Oustanding Champion in the Track on Driving with Language of the Autonomous Grand Challenge at CVPR 2024
by: Li, Jiahan, et al.
Published: (2024)

MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer
by: Tian, Changyao, et al.
Published: (2024)

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
by: Wang, Weiyun, et al.
Published: (2024)

Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures
by: Duan, Yuchen, et al.
Published: (2024)

MetaCaptioner: Towards Generalist Visual Captioning with Open-source Suites
by: Lei, Zhenxin, et al.
Published: (2025)

CoMemo: LVLMs Need Image Context with Image Memory
by: Liu, Shi, et al.
Published: (2025)

NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
by: Tian, Changyao, et al.
Published: (2025)

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
by: Li, Hao, et al.
Published: (2023)

HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding
by: Tao, Chenxin, et al.
Published: (2024)

The All-Seeing Project V2: Towards General Relation Comprehension of the Open World
by: Wang, Weiyun, et al.
Published: (2024)

VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
by: Wang, Weiyun, et al.
Published: (2025)

Demystify Transformers & Convolutions in Modern Image Deep Networks
by: Hu, Xiaowei, et al.
Published: (2022)

Sequential Diffusion Language Models
by: Liu, Yangzhou, et al.
Published: (2025)

Needle In A Multimodal Haystack
by: Wang, Weiyun, et al.
Published: (2024)

MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity
by: Liu, Yangzhou, et al.
Published: (2024)

Docopilot: Improving Multimodal Models for Document-Level Understanding
by: Duan, Yuchen, et al.
Published: (2025)

VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models
by: Xu, Weiye, et al.
Published: (2025)

DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
by: Cui, Erfei, et al.
Published: (2023)

ADDP: Learning General Representations for Image Recognition and Generation with Alternating Denoising Diffusion Process
by: Tian, Changyao, et al.
Published: (2023)

InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models
by: Deng, Nianchen, et al.
Published: (2025)

InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
by: Wang, Haomin, et al.
Published: (2025)

Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training
by: Shi, Hengyu, et al.
Published: (2026)

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling
by: Wang, Yi, et al.
Published: (2025)

Learning 1D Causal Visual Representation with De-focus Attention Networks
by: Tao, Chenxin, et al.
Published: (2024)

Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning
by: Yang, Chenyu, et al.
Published: (2024)

ViCO: A Training Strategy towards Semantic Aware Dynamic High-Resolution
by: Cui, Long, et al.
Published: (2025)

SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence
by: Gong, Ziyang, et al.
Published: (2025)

VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks
by: Wu, Jiannan, et al.
Published: (2024)

InternVideo2: Scaling Foundation Models for Multimodal Video Understanding
by: Wang, Yi, et al.
Published: (2024)