Cover Image

Learning Compact Vision Tokens for Efficient Large Multimodal Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tang, Hao, Shen, Chengchao
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Multimedia
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Seeing Beyond Words: Self-Supervised Visual Learning for Multimodal Large Language Models
by: Caffagni, Davide, et al.
Published: (2025)

Analyzing Diffusion and Autoregressive Vision Language Models in Multimodal Embedding Space
by: Wang, Zihang, et al.
Published: (2026)

The Revolution of Multimodal Large Language Models: A Survey
by: Caffagni, Davide, et al.
Published: (2024)

A Survey of Multimodal Large Language Model from A Data-centric Perspective
by: Bai, Tianyi, et al.
Published: (2024)

Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
by: Cocchi, Federico, et al.
Published: (2024)

Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis
by: Bucciarelli, Davide, et al.
Published: (2024)

RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing
by: Zhang, Zilun, et al.
Published: (2023)

Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
by: Wang, Xintong, et al.
Published: (2024)

How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model
by: Song, Shezheng, et al.
Published: (2023)

POLYCHARTQA: Benchmarking Large Vision-Language Models with Multilingual Chart Question Answering
by: Xu, Yichen, et al.
Published: (2025)

Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document Retrieval
by: Caffagni, Davide, et al.
Published: (2025)

RaTA-Tool: Retrieval-based Tool Selection with Multimodal Large Language Models
by: Mattioli, Gabriele, et al.
Published: (2026)

What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models
by: Baraldi, Lorenzo, et al.
Published: (2025)

Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
by: Fu, Yuhan, et al.
Published: (2024)

EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models
by: Du, Mengfei, et al.
Published: (2024)

Less is More: A Simple yet Effective Token Reduction Method for Efficient Multi-modal LLMs
by: Song, Dingjie, et al.
Published: (2024)

Veagle: Advancements in Multimodal Representation Learning
by: Chawla, Rajat, et al.
Published: (2024)

VideoAutoArena: An Automated Arena for Evaluating Large Multimodal Models in Video Analysis through User Simulation
by: Luo, Ziyang, et al.
Published: (2024)

RAP: Retrieval-Augmented Personalization for Multimodal Large Language Models
by: Hao, Haoran, et al.
Published: (2024)

Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
by: Chen, Xiwen, et al.
Published: (2025)

Hyperbolic Safety-Aware Vision-Language Models
by: Poppi, Tobia, et al.
Published: (2025)

Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations
by: Han, Jiaming, et al.
Published: (2025)

Positive-Augmented Contrastive Learning for Vision-and-Language Evaluation and Training
by: Sarto, Sara, et al.
Published: (2024)

Causal Graphical Models for Vision-Language Compositional Understanding
by: Parascandolo, Fiorenzo, et al.
Published: (2024)

IRR: Image Review Ranking Framework for Evaluating Vision-Language Models
by: Hayashi, Kazuki, et al.
Published: (2024)

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models
by: Poppi, Samuele, et al.
Published: (2023)

Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs
by: Wang, Wenxuan, et al.
Published: (2025)

SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
by: Qi, Peng, et al.
Published: (2024)

Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization
by: Lai, Zhengzhao, et al.
Published: (2025)

Can We Edit Multimodal Large Language Models?
by: Cheng, Siyuan, et al.
Published: (2023)

Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
by: Baraldi, Lorenzo, et al.
Published: (2023)

AToken: A Unified Tokenizer for Vision
by: Lu, Jiasen, et al.
Published: (2025)

Recurrence Meets Transformers for Universal Multimodal Retrieval
by: Caffagni, Davide, et al.
Published: (2025)

Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text Models
by: Han, Wei, et al.
Published: (2023)

Multimodal Long Video Modeling Based on Temporal Dynamic Context
by: Hao, Haoran, et al.
Published: (2025)

Multimodal LLM-Guided Semantic Correction in Text-to-Image Diffusion
by: Lv, Zheqi, et al.
Published: (2025)

TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
by: Zhang, Jun, et al.
Published: (2025)

Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
by: Jiang, Ruixiang, et al.
Published: (2025)

Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization
by: Compagnoni, Alberto, et al.
Published: (2025)

Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs
by: Caffagni, Davide, et al.
Published: (2024)