Summary of Lasers: Latent Space Encoding For Representations with Sparsity For Generative Modeling, by Xin Li et al.
LASERS: LAtent Space Encoding for Representations with Sparsity for Generative Modelingby Xin Li, Anand SarwateFirst…
Summary of Language Models and Retrieval Augmented Generation For Automated Structured Data Extraction From Diagnostic Reports, by Mohamed Sobhi Jabal et al.
Language Models and Retrieval Augmented Generation for Automated Structured Data Extraction from Diagnostic Reportsby Mohamed…
Summary of Cskv: Training-efficient Channel Shrinking For Kv Cache in Long-context Scenarios, by Luning Wang et al.
CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenariosby Luning Wang, Shiyao Li, Xuefei…
Summary of Robust Training Of Neural Networks at Arbitrary Precision and Sparsity, by Chengxi Ye et al.
Robust Training of Neural Networks at Arbitrary Precision and Sparsityby Chengxi Ye, Grace Chu, Yanfeng…
Summary of S-ste: Continuous Pruning Function For Efficient 2:4 Sparse Pre-training, by Yuezhou Hu et al.
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-trainingby Yuezhou Hu, Jun Zhu, Jianfei ChenFirst…
Summary of Adaptive Error-bounded Hierarchical Matrices For Efficient Neural Network Compression, by John Mango and Ronald Katende
Adaptive Error-Bounded Hierarchical Matrices for Efficient Neural Network Compressionby John Mango, Ronald KatendeFirst submitted to…
Summary of Rate-constrained Quantization For Communication-efficient Federated Learning, by Shayan Mohajer Hamidi et al.
Rate-Constrained Quantization for Communication-Efficient Federated Learningby Shayan Mohajer Hamidi, Ali BereyhiFirst submitted to arxiv on:…
Summary of Opal: Outlier-preserved Microscaling Quantization Accelerator For Generative Large Language Models, by Jahyun Koo et al.
OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Modelsby Jahyun Koo, Dahoon Park, Sangwoo…
Summary of Tripleplay: Enhancing Federated Learning with Clip For Non-iid Data and Resource Efficiency, by Ahmed Imteaj et al.
TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiencyby Ahmed Imteaj, Md…
Summary of Watermas: Sharpness-aware Maximization For Neural Network Watermarking, by Carl De Sousa Trias et al.
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarkingby Carl De Sousa Trias, Mihai Mitrea, Attilio Fiandrotti,…