Image de couverture de livre

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes?

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yao, Yang, Li, Lingyu, Song, Jiaxin, Chen, Chiyu, He, Zhenqi, Wang, Yixu, Wang, Xin, Gu, Tianle, Li, Jie, Teng, Yan, Wang, Yingchun
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language Machine Learning Multimedia
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

LinguaSafe: A Comprehensive Multilingual Safety Benchmark for Large Language Models
par: Ning, Zhiyuan, et autres
Publié: (2025)

Every Painting Awakened: A Training-free Framework for Painting-to-Animation Generation
par: Liu, Lingyu, et autres
Publié: (2025)

Can Video Diffusion Models Predict Past Frames? Bidirectional Cycle Consistency for Reversible Interpolation
par: Liu, Lingyu, et autres
Publié: (2026)

MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
par: Zhang, Hanlei, et autres
Publié: (2024)

Continual Panoptic Perception: Towards Multi-modal Incremental Interpretation of Remote Sensing Images
par: Yuan, Bo, et autres
Publié: (2024)

Retrieval-Augmented Multimodal Model for Fake News Detection
par: Li, Yiheng, et autres
Publié: (2026)

Sample then Identify: A General Framework for Risk Control and Assessment in Multimodal Large Language Models
par: Wang, Qingni, et autres
Publié: (2024)

Look, Compare and Draw: Differential Query Transformer for Automatic Oil Painting
par: Liu, Lingyu, et autres
Publié: (2026)

MHAD: Multimodal Home Activity Dataset with Multi-Angle Videos and Synchronized Physiological Signals
par: Yu, Lei, et autres
Publié: (2024)

Listening to the Unspoken: Exploring "365" Aspects of Multimodal Interview Performance Assessment
par: Li, Jia, et autres
Publié: (2025)

Can Large Language Models Help Multimodal Language Analysis? MMLA: A Comprehensive Benchmark
par: Zhang, Hanlei, et autres
Publié: (2025)

ChemDFM-X: Towards Large Multimodal Model for Chemistry
par: Zhao, Zihan, et autres
Publié: (2024)

OpenRT: An Open-Source Red Teaming Framework for Multimodal LLMs
par: Wang, Xin, et autres
Publié: (2026)

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
par: Wang, Bing, et autres
Publié: (2024)

Evaluating Multimodal Large Language Models on Spoken Sarcasm Understanding
par: Li, Zhu, et autres
Publié: (2025)

Distilling Implicit Multimodal Knowledge into Large Language Models for Zero-Resource Dialogue Generation
par: Zhang, Bo, et autres
Publié: (2024)

FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models
par: Li, Yixuan, et autres
Publié: (2024)

Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors
par: Wang, Bing, et autres
Publié: (2025)

When Video Coding Meets Multimodal Large Language Models: A Unified Paradigm for Video Coding
par: Zhang, Pingping, et autres
Publié: (2024)

TimeLens: Rethinking Video Temporal Grounding with Multimodal LLMs
par: Zhang, Jun, et autres
Publié: (2025)

Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
par: Wang, Bing, et autres
Publié: (2025)

CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation
par: Zhu, Xiaofei, et autres
Publié: (2024)

HoneypotNet: Backdoor Attacks Against Model Extraction
par: Wang, Yixu, et autres
Publié: (2025)

Multimodal Infusion Tuning for Large Models
par: Sun, Hao, et autres
Publié: (2024)

MIND Your Reasoning: A Meta-Cognitive Intuitive-Reflective Network for Dual-Reasoning in Multimodal Stance Detection
par: Wang, Bingbing, et autres
Publié: (2025)

Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances
par: Zhang, Hanlei, et autres
Publié: (2024)

How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model
par: Song, Shezheng, et autres
Publié: (2023)

A Multimodal Transformer for Live Streaming Highlight Prediction
par: Deng, Jiaxin, et autres
Publié: (2024)

Hierarchical Aligned Multimodal Learning for NER on Tweet Posts
par: Liu, Peipei, et autres
Publié: (2023)

Interpretable Multimodal Misinformation Detection with Logic Reasoning
par: Liu, Hui, et autres
Publié: (2023)

MMESGBench: Pioneering Multimodal Understanding and Complex Reasoning Benchmark for ESG Tasks
par: Zhang, Lei, et autres
Publié: (2025)

PTA: Enhancing Multimodal Sentiment Analysis through Pipelined Prediction and Translation-based Alignment
par: Song, Shezheng, et autres
Publié: (2024)

Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck
par: Cui, Shiyao, et autres
Publié: (2023)

ArchGPT: Understanding the World's Architectures with Large Multimodal Models
par: Wang, Yuze, et autres
Publié: (2025)

Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models
par: Chen, Junjie, et autres
Publié: (2025)

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model
par: Hu, Anwen, et autres
Publié: (2023)

GuardAlign: Test-time Safety Alignment in Multimodal Large Language Models
par: Zhu, Xingyu, et autres
Publié: (2026)

AIM: Let Any Multi-modal Large Language Models Embrace Efficient In-Context Learning
par: Gao, Jun, et autres
Publié: (2024)

Traits Run Deep: Enhancing Personality Assessment via Psychology-Guided LLM Representations and Multimodal Apparent Behaviors
par: Li, Jia, et autres
Publié: (2025)

Detached and Interactive Multimodal Learning
par: Fan, Yunfeng, et autres
Publié: (2024)