36 citations · 37 across the 4 of their papers we have counts for
4 papers
CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution
Baoliang Tian, Yuxuan Si, Jilong Wang +13
Multimodal Large Language Models are primarily trained and evaluated on aligned image-text pairs, which leaves their ability to detect and resolve real-world inconsistencies largel…
K-frames: Scene-Driven Any-k Keyframe Selection for long video understanding
Yifeng Yao, Yike Yun, Jing Wang +6
Multimodal Large Language Models (MLLMs) have demonstrated significant capabilities in image understanding, but long-video are constrained by context windows and computational cost…
Cultural Value Differences of LLMs: Prompt, Language, and Model Size
Qishuai Zhong, Yike Yun, Aixin Sun
Our study aims to identify behavior patterns in cultural values exhibited by large language models (LLMs). The studied variants include question ordering, prompting language, and m…
SelfReformer: Self-Refined Network with Transformer for Salient Object Detection
Yi Ke Yun, Weisi Lin
The global and local contexts significantly contribute to the integrity of predictions in Salient Object Detection (SOD). Unfortunately, existing methods still struggle to generate…