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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