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prompt tuning

445 papers

PT

Papers

MIPT: Multilevel Informed Prompt Tuning for Robust Molecular Property Prediction ICML 2025 MOPSA: Mixture of Prompt-Experts Based Speaker Adaptation for Elderly Speech Recognition Interspeech 2025 Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment ICML 2025 Parameter-Efficient Fine-tuning with Instance-Aware Prompt and Parallel Adapters for Speaker Verification Interspeech 2025 Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language AAAI 2025 pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation ICLR 2025 Poetry in Pixels: Prompt Tuning for Poem Image Generation via Diffusion Models COLING 2025 Position Really Matters: Towards a Holistic Approach for Prompt Tuning NAACL 2025 Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning ICCV 2025 PromptHaze: Prompting Real-world Dehazing via Depth Anything Model AAAI 2025 Prompt Tuning Can Simply Adapt Large Language Models to Text Encoders NAACL 2025 Prompt Tuning In a Compact Attribute Space AAAI 2025 Provable Benefits of Task-Specific Prompts for In-context Learning AISTATS 2025 RainbowPrompt: Diversity-Enhanced Prompt-Evolving for Continual Learning ICCV 2025 Random Registers for Cross-Domain Few-Shot Learning ICML 2025 Release the Powers of Prompt Tuning: Cross-Modality Prompt Transfer ICLR 2025 Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning AAAI 2025 Revisiting Prefix-tuning: Statistical Benefits of Reparameterization among Prompts ICLR 2025 RiTTA: Modeling Event Relations in Text-to-Audio Generation EMNLP 2025 RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks AAAI 2025 ROADS: Robust Prompt-Driven Multi-Class Anomaly Detection under Domain Shift WACV 2025 Scene Map-based Prompt Tuning for Navigation Instruction Generation CVPR 2025 Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition CVPR 2025 Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves CVPR 2025 Sparse autoencoders reveal selective remapping of visual concepts during adaptation ICLR 2025