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Papers
Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves
CVPR 2025
Forget the Unneeded: Backdooring Large Language Models via Contrastive-enhanced Machine Unlearning
EMNLP 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
ICCV 2025
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning
AAAI 2025
CEPT: A Contrast-Enhanced Prompt-Tuning Framework for Emotion Recognition in Conversation
COLING 2024