Summary of Beware Of Calibration Data For Pruning Large Language Models, by Yixin Ji et al.
Beware of Calibration Data for Pruning Large Language Modelsby Yixin Ji, Yang Xiang, Juntao Li,…
Summary of Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importance, by Mostafa Hussien et al.
Small Contributions, Small Networks: Efficient Neural Network Pruning Based on Relative Importanceby Mostafa Hussien, Mahmoud…
Summary of Treebon: Enhancing Inference-time Alignment with Speculative Tree-search and Best-of-n Sampling, by Jiahao Qiu et al.
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Samplingby Jiahao Qiu, Yifu Lu, Yifan…
Summary of Pruning Foundation Models For High Accuracy Without Retraining, by Pu Zhao et al.
Pruning Foundation Models for High Accuracy without Retrainingby Pu Zhao, Fei Sun, Xuan Shen, Pinrui…
Summary of Dpvs-shapley:faster and Universal Contribution Evaluation Component in Federated Learning, by Ketin Yin et al.
DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learningby Ketin Yin, Zonghao Guo, ZhengHan QinFirst…
Summary of Adaptive Pruning with Module Robustness Sensitivity: Balancing Compression and Robustness, by Lincen Bai et al.
Adaptive Pruning with Module Robustness Sensitivity: Balancing Compression and Robustnessby Lincen Bai, Hedi Tabia, Raúl…
Summary of Fedspallm: Federated Pruning Of Large Language Models, by Guangji Bai et al.
FedSpaLLM: Federated Pruning of Large Language Modelsby Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao,…
Summary of Sglp: a Similarity Guided Fast Layer Partition Pruning For Compressing Large Deep Models, by Yuqi Li et al.
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Modelsby Yuqi Li,…
Summary of Large Language Models Are Overparameterized Text Encoders, by Thennal D K et al.
Large Language Models Are Overparameterized Text Encodersby Thennal D K, Tim Fischer, Chris BiemannFirst submitted…
Summary of Evopress: Towards Optimal Dynamic Model Compression Via Evolutionary Search, by Oliver Sieberling et al.
EvoPress: Towards Optimal Dynamic Model Compression via Evolutionary Searchby Oliver Sieberling, Denis Kuznedelev, Eldar Kurtic,…