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Min-Ling Zhang

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RL Forgets! Towards Continual Policy Optimization

This work introduces MRCL, a Multimodal Reasoning Continual Learning benchmark, and proposes Continual Policy Optimization (CPO), a replay-free framework grounded in a prior-task behavioral KL objective that consistently reduces forgetting while preserving, and in some cases improving, pretrained model capabilities.

Mao-Lin Luo, Zhe-Xu Wang, Zi-Hao Zhou et al. · 0 citations
2025

X-Mahalanobis: Transformer Feature Mixing for Reliable OOD Detection

A straightforward feature mixing approach for pre-trained Transformers is presented, which combines multi-layer representations via calculated importance weights, and identifies OOD samples using Mahalanobis distance in the blended feature space.

Tong Wei, Bolin Wang, Jiang-Xin Shi et al. · 8 citations · ⚡2

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