2 papers
cs.CV2026
Multimodal UNcommonsense: From Odd to Ordinary and Ordinary to Odd
Yejin Son, Saejin Kim, Dongjun Min +1
Commonsense reasoning in multimodal contexts remains a foundational challenge in artificial intelligence. We introduce Multimodal UNcommonsense(MUN), a benchmark designed to evalua…
cs.CV2025
Revisiting Residual Connections: Orthogonal Updates for Stable and Efficient Deep Networks
Giyeong Oh, Woohyun Cho, Siyeol Kim +2
Residual connections are pivotal for deep neural networks, enabling greater depth by mitigating vanishing gradients. However, in standard residual updates, the module's output is d…