6 citations · 8 across the 5 of their papers we have counts for
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cs.CV2024★ 1 cited
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
Yi-Fan Zhang, Huanyu Zhang, Haochen Tian +10
Comprehensive evaluation of Multimodal Large Language Models (MLLMs) has recently garnered widespread attention in the research community. However, we observe that existing benchma…
cs.IR2024★ 6 cited
Can Large Language Models Detect Rumors on Social Media?
Qiang Liu, Xiang Tao, Junfei Wu +2
In this work, we investigate to use Large Language Models (LLMs) for rumor detection on social media. However, it is challenging for LLMs to reason over the entire propagation info…
cs.CV2024
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models
Junfei Wu, Qiang Liu, Ding Wang +4
Object hallucination has been an Achilles' heel which hinders the broader applications of large vision-language models (LVLMs). Object hallucination refers to the phenomenon that t…