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#parameter-efficient-tuning News & Analysis

2 articles tagged with #parameter-efficient-tuning. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · 10h ago6/10
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Text-Guided Multi-Scale Frequency Representation Adaptation

Researchers introduce FreqAdapter, a parameter-efficient fine-tuning method that operates in the frequency domain rather than signal space to adapt pre-trained models like CLIP and LLaVA. The approach uses multi-scale adaptation strategies and text-guided prompts to improve model efficiency and performance with minimal training parameters and fast convergence.

AIBullisharXiv – CS AI · 10h ago6/10
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Gate-and-Merge: Zero-shot Compositional Personalization of Vision Language Models

Researchers present Gate-and-Merge, a zero-shot framework enabling vision-language models to recognize and compose multiple user-defined concepts without requiring co-occurrence training data. The approach uses lightweight LoRA adapters for individual concepts and employs a gating mechanism to merge them intelligently at inference time, maintaining concept integrity while enabling compositional personalization.