Author

Xiang Wang

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#artificial intelligence Oct 2025

MLLMEraser: Achieving Test-Time Unlearning in Multimodal Large Language Models through Activation Steering

This work proposes MLLMEraser, an input-aware, training-free framework for test-time unlearning that consistently outperforms state-of-the-art MLLM unlearning baselines, achieving stronger forgetting performance with lower computational cost and minimal utility degradation.

Chen-Lu Ding, Jian-Can Wu, Leheng Sheng et al. · arXiv.org · 11 citations

Open access Aug 2026

RosePO: Customized Preference Alignment in LLM-Based Recommendation

This work proposes RosePO, a framework to refine LLM-based recommendation through pairwise preference optimization with personalized smoothing, and incorporates a personalized smoothing factor predicted by a user oracle into the optimization objective.

Jia-Yi Liao, Xiang-Nan He, Ruo-Bing Xie et al. · ACM Transactions on Informat... · 0 citations