Multimodal large language models (MLLMs) have made significant progress in visual understanding and generation. However, generating interleaved image--text content remains challenging, as it requires tightly integrated multimodal understanding and generation capabilities. Although existing MLLMs provide promising solut...
Xin You, Zhi-Wei Ning, Zu-Kai Chen et al.· 0 citations
Princigram shows that explicit physics-structured supervision improves the physical faithfulness of generated scientific diagrams, and curate and structurally annotate 4.3 million physics images, carry expert-level annotation, and adapt a unified multimodal backbone.
Ming-Hui Zhang, Jinxin Shi, Yi-Fan Chang et al.· 0 citations
DualRead builds on the insight that reliability can be read from the actor's internal states at critical moments in the answering process and improves correctness discrimination and calibration over verbalized confidence while preserving answer accuracy.
Yang-Yang Xie, Ke-Chun Hao, Jia-Qi Liu et al.· 0 citations
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