Summary of Biomistral: a Collection Of Open-source Pretrained Large Language Models For Medical Domains, by Yanis Labrak et al.
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domainsby Yanis Labrak, Adrien…
Summary of Multi-excitation Projective Simulation with a Many-body Physics Inspired Inductive Bias, by Philip A. Lemaitre et al.
Multi-Excitation Projective Simulation with a Many-Body Physics Inspired Inductive Biasby Philip A. LeMaitre, Marius Krumm,…
Summary of Model Compression and Efficient Inference For Large Language Models: a Survey, by Wenxiao Wang et al.
Model Compression and Efficient Inference for Large Language Models: A Surveyby Wenxiao Wang, Wei Chen,…
Summary of Towards Next-level Post-training Quantization Of Hyper-scale Transformers, by Junhan Kim et al.
Towards Next-Level Post-Training Quantization of Hyper-Scale Transformersby Junhan Kim, Chungman Lee, Eulrang Cho, Kyungphil Park,…
Summary of Outlier-aware Training For Low-bit Quantization Of Structural Re-parameterized Networks, by Muqun Niu et al.
Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networksby Muqun Niu, Yuan Ren, Boyu Li,…
Summary of Lirank: Industrial Large Scale Ranking Models at Linkedin, by Fedor Borisyuk et al.
LiRank: Industrial Large Scale Ranking Models at LinkedInby Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu…
Summary of Rqp-sgd: Differential Private Machine Learning Through Noisy Sgd and Randomized Quantization, by Ce Feng et al.
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantizationby Ce Feng, Parv VenkitasubramaniamFirst…
Summary of Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings, By Yichen Jiang et al.
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddingsby Yichen Jiang, Xiang Zhou, Mohit…
Summary of A Survey on Transformer Compression, by Yehui Tang et al.
A Survey on Transformer Compressionby Yehui Tang, Yunhe Wang, Jianyuan Guo, Zhijun Tu, Kai Han,…
Summary of Sparse-vq Transformer: An Ffn-free Framework with Vector Quantization For Enhanced Time Series Forecasting, by Yanjun Zhao et al.
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecastingby Yanjun Zhao,…