Summary of On the Way to Llm Personalization: Learning to Remember User Conversations, by Lucie Charlotte Magister et al.
On the Way to LLM Personalization: Learning to Remember User Conversationsby Lucie Charlotte Magister, Katherine…
Summary of Helene: Hessian Layer-wise Clipping and Gradient Annealing For Accelerating Fine-tuning Llm with Zeroth-order Optimization, by Huaqin Zhao et al.
HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimizationby Huaqin…
Summary of Dynamic Subset Tuning: Expanding the Operational Range Of Parameter-efficient Training For Large Language Models, by Felix Stahlberg et al.
Dynamic Subset Tuning: Expanding the Operational Range of Parameter-Efficient Training for Large Language Modelsby Felix…
Summary of Perft: Parameter-efficient Routed Fine-tuning For Mixture-of-expert Model, by Yilun Liu et al.
PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Modelby Yilun Liu, Yunpu Ma, Shuo Chen, Zifeng Ding,…
Summary of Efficient Federated Finetuning Of Tiny Transformers with Resource-constrained Devices, by Kilian Pfeiffer et al.
Efficient Federated Finetuning of Tiny Transformers with Resource-Constrained Devicesby Kilian Pfeiffer, Mohamed Aboelenien Ahmed, Ramin…
Summary of Llm-neo: Parameter Efficient Knowledge Distillation For Large Language Models, by Runming Yang et al.
LLM-NEO: Parameter Efficient Knowledge Distillation for Large Language Modelsby Runming Yang, Taiqiang Wu, Jiahao Wang,…
Summary of Mambapeft: Exploring Parameter-efficient Fine-tuning For Mamba, by Masakazu Yoshimura et al.
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mambaby Masakazu Yoshimura, Teruaki Hayashi, Yota MaedaFirst submitted to arxiv…
Summary of Safe: Slow and Fast Parameter-efficient Tuning For Continual Learning with Pre-trained Models, by Linglan Zhao et al.
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Modelsby Linglan Zhao, Xuerui…
Summary of Pin-tuning: Parameter-efficient In-context Tuning For Few-shot Molecular Property Prediction, by Liang Wang et al.
Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Predictionby Liang Wang, Qiang Liu, Shaozhen Liu,…
Summary of Ef-llm: Energy Forecasting Llm with Ai-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection, by Zihang Qiu et al.
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detectionby Zihang Qiu, Chaojie…