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20232026
most citedFrom GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities

3 citations · 9 across the 32 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

FreezeVLA: Action-Freezing Attacks against Vision-Language-Action Models

Xin Wang, Jie Li, Zejia Weng +9

Vision-Language-Action (VLA) models are driving rapid progress in robotics by enabling agents to interpret multimodal inputs and execute complex, long-horizon tasks. However, their…

cs.CV2025

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

Yang Yao, Lingyu Li, Jiaxin Song +8

As Multimodal Large Language Models (MLLMs) continue to evolve, their cognitive and reasoning capabilities have seen remarkable progress. However, challenges in visual fine-grained…

cs.CV2025

SafeVid: Toward Safety Aligned Video Large Multimodal Models

Yixu Wang, Jiaxin Song, Yifeng Gao +6

As Video Large Multimodal Models (VLMMs) rapidly advance, their inherent complexity introduces significant safety challenges, particularly the issue of mismatched generalization wh…

cs.CV2025

JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models

Jiaxin Song, Yixu Wang, Jie Li +4

Vision-Language Models (VLMs) exhibit impressive performance, yet the integration of powerful vision encoders has significantly broadened their attack surface, rendering them incre…

cs.CV2024

IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves

Ruofan Wang, Juncheng Li, Yixu Wang +6

As large Vision-Language Models (VLMs) gain prominence, ensuring their safe deployment has become critical. Recent studies have explored VLM robustness against jailbreak attacks-te…

cs.CV20243 cited

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities

Chaochao Lu, Chen Qian, Guodong Zheng +33

Multi-modal Large Language Models (MLLMs) have shown impressive abilities in generating reasonable responses with respect to multi-modal contents. However, there is still a wide ga…