The rapid advancement of single-cell technologies has significantly enhanced our ability to investigate cellular heterogeneity within plant tissues. However, deciphering these intricate cellular landscapes requires processing high-dimensional gene expression matrices and integrating diverse datasets to enable accurate...
Peng Lu, Jing-Jing Jin, Jie-Meng Tao et al.· Nucleic Acids Research· 0 citations
Reinforcement fine-tuning (RFT) is widely believed to inherently resist catastrophic forgetting in continual post-training of multimodal large language models. Under pronounced task distributional shifts, however, forgetting across representative RFT algorithms escalates sharply. This stems from the implicit reward-var...
Yibei Liu, Jiajun Chen, Qianle Zhang et al.· 0 citations
This paper introduces the problem of Incomplete Multimodal Sentiment Analysis with Unseen Modality Combinations (IMSAUMC), aiming to enhance model generalization for unseen modality combinations, and introduces a label-guided contrastive feature learning mechanism to learn robust and discriminative cross-modal represen...
Kaixin Xu, Nai-Jing Liu, Yu-Ri Kang et al.· 0 citations
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