2 papers
cs.CV2026
Towards Faithful Reasoning in Comics for Small MLLMs
Chengcheng Feng, Haojie Yin, Yucheng Jin +1
Comic understanding presents a significant challenge for Multimodal Large Language Models (MLLMs), as the intended meaning of a comic often emerges from the joint interpretation of…
cs.LG2025
SmoothGuard: Defending Multimodal Large Language Models with Noise Perturbation and Clustering Aggregation
Guangzhi Su, Shuchang Huang, Yutong Ke +3
Multimodal large language models (MLLMs) have achieved impressive performance across diverse tasks by jointly reasoning over textual and visual inputs. Despite their success, these…