Summary of Knowledge Composition Using Task Vectors with Learned Anisotropic Scaling, by Frederic Z. Zhang et al.
Knowledge Composition using Task Vectors with Learned Anisotropic Scalingby Frederic Z. Zhang, Paul Albert, Cristian…
Knowledge Composition using Task Vectors with Learned Anisotropic Scalingby Frederic Z. Zhang, Paul Albert, Cristian…
ShiftAddAug: Augment Multiplication-Free Tiny Neural Network with Hybrid Computationby Yipin Guo, Zihao Li, Yilin Lang,…
Joint Optimization of Resource Allocation and Data Selection for Fast and Cost-Efficient Federated Edge Learningby…
GPTQT: Quantize Large Language Models Twice to Push the Efficiencyby Yipin Guo, Yilin Lang, Qinyuan…
The More the Merrier? Navigating Accuracy vs. Energy Efficiency Design Trade-Offs in Ensemble Learning Systemsby Rafiullah…
SFC: Achieve Accurate Fast Convolution under Low-precision Arithmeticby Liulu He, Yufei Zhao, Rui Gao, Yuan…
Towards a Scalable Reference-Free Evaluation of Generative Modelsby Azim Ospanov, Jingwei Zhang, Mohammad Jalali, Xuenan…
Semantically Rich Local Dataset Generation for Explainable AI in Genomicsby Pedro Barbosa, Rosina Savisaar, Alcides…
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Modelsby Hayder Elesedy, Pedro M.…
Towards Federated RLHF with Aggregated Client Preference for LLMsby Feijie Wu, Xiaoze Liu, Haoyu Wang,…