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cs.CV2025
MVI-Bench: A Comprehensive Benchmark for Evaluating Robustness to Misleading Visual Inputs in LVLMs
Huiyi Chen, Jiawei Peng, Dehai Min +5
Evaluating the robustness of Large Vision-Language Models (LVLMs) is essential for their continued development and responsible deployment in real-world applications. However, exist…
cs.CV2024★ 1 cited
Exploring the Distinctiveness and Fidelity of the Descriptions Generated by Large Vision-Language Models
Yuhang Huang, Zihan Wu, Chongyang Gao +2
Large Vision-Language Models (LVLMs) are gaining traction for their remarkable ability to process and integrate visual and textual data. Despite their popularity, the capacity of L…
cs.CV2023
How to Configure Good In-Context Sequence for Visual Question Answering
Li Li, Jiawei Peng, Huiyi Chen +2
Inspired by the success of Large Language Models in dealing with new tasks via In-Context Learning (ICL) in NLP, researchers have also developed Large Vision-Language Models (LVLMs…