Author

Mengying Zhu

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#machine learning Preprint Sep 2026

Towards Eliminating Catastrophic Forgetting in the Curriculum Learning of Math Reasoning Tasks

Curriculum learning has found broad application across numerous domains. Nevertheless, its effectiveness is intrinsically curtailed by catastrophic forgetting, driven by the shifts in model parameter distributions between curriculum tasks. In this paper, we investigate the phenomenon of catastrophic forgetting in this...

Zeng-Yan Yang, Yang-Yang Wu, Kai Huang et al. · 0 citations

Preprint Aug 2026

Taming the Implicit: Dual-Channel Risk-Aware Reinforcement Fine-Tuning for Continual Multimodal Post-Training

RAPO is proposed, the first dual-channel framework for explicit risk governance in continual RFT, and is a plug-and-play strategy requiring no cross-task memory, generalizes to any RFT algorithm without modification.

Yibei Liu, Jiajun Chen, Qianle Zhang et al. · 0 citations

Preprint Aug 2026

Contrastive Mixed Prompt Learning for Incomplete Multimodal Sentiment Analysis with Unseen Modality Combination

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