Author

Tianrui Li

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#machine learning Jul 2026

Regularizing modality contribution drift in multimodal continual learning

Continual Modality Contribution Drift Regularization (CMCDR) is proposed to preserve the modality contribution profiles of previously learned tasks in both replay-based and replay-free settings to mitigate forgetting in MMCL.

Zhen Zhang, Jielei Chu, Wen-Jie Ban et al. · arXiv.org · 0 citations

2025

Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks

This work systematically investigates the role of token similarity in cross-lingual transferability for image-text retrieval, establishing it as a key factor governing fine-tuning efficacy in MCLIP, and proposes two novel strategies to enhance efficiency while preserving multilinguality.

Fengmao Lyu, Jitong Lei, Guosheng Lin et al. · Neural Information Processin... · 2 citations