← Search

Di Shao

2 accepted papers

2026

ASRU: Activation Steering Meets Reinforcement Unlearning for Multimodal Large Language Models

ICML 2026poster

Multimodal large language models (MLLMs) inevitably memorize sensitive cross-modal information during pretraining, making post-deployment unlearning crucial for safety. Existing methods often evaluate unlearning based on output deviations, neglecting generation quality, which can lead to hallucinati…

Cited by 0SourceScholar
2026

DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion

AAAI 2026technical

Domain adaptive point cloud completion (DA PCC) aims to narrow the geometric and semantic discrepancies between the labeled source and unlabeled target domains. Existing methods either suffer from limited receptive fields or quadratic complexity due to using CNNs or vision Transformers. In this pape

Cited by 0SourcePDFScholar