Tag: AdaLoRA-QAT
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CAP-TTA: Real-Time Debiasing for Narrative Generation
Discover CAP-TTA, a novel framework enabling real-time bias correction in narrative generation using test-time adaptation for improved LLM performance.
JumpLoRA: Sparse Adapters Boost Continual Learning in LLMs
Discover how JumpLoRA's sparse adapters enhance continual learning in large language models, preventing forgetting and improving AI performance.
LLM Fine-Tuning & Scale Impact on Code Compliance AI
Analyze how fine-tuning methods and model size affect LLM interpretability and performance in automated code compliance tasks.
Energy-Efficient Decentralized Federated Learning in IoV
Optimize multi-task federated fine-tuning with energy-aware decentralized scheduling for edge-assisted Internet of Vehicles (IoV) networks.
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.