Tag: retrieval model adaptation
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Self-Conditioning Boosts Masked Diffusion Models Performance
Discover how Self-Conditioning adaptation improves masked diffusion models, enhancing data generation and image synthesis with minimal changes.
ShadowPEFT: Efficient Layer-Level Fine-Tuning for LLMs
Discover ShadowPEFT, a centralized framework for parameter-efficient fine-tuning that enhances large language models with layer-level refinement and edge s...
SVD-Based Orthogonal Projection for Continual Machine Unlearning
Discover how SVD-guided orthogonal projection improves continual machine unlearning by preserving model accuracy during sequential data deletion.
Pioneer Agent: Boosting Small Language Models in Production
Discover how Pioneer Agent automates continual improvement of small language models, enhancing performance and efficiency in real-world production.
Privacy-Preserving Large Language Models with Text-Free Inference
Discover Privacy-Preserving Fine-Tuning (PPFT) for LLMs, enabling secure, text-free inference that balances privacy and performance efficiently.