Summary of Talkmosaic: Interactive Photomosaic with Multi-modal Llm Q&a Interactions, by Kevin Li et al.
TalkMosaic: Interactive PhotoMosaic with Multi-modal LLM Q&A Interactionsby Kevin Li, Fulu LiFirst submitted to arxiv…
Summary of A Comprehensive Evaluation Of Quantized Instruction-tuned Large Language Models: An Experimental Analysis Up to 405b, by Jemin Lee et al.
A Comprehensive Evaluation of Quantized Instruction-Tuned Large Language Models: An Experimental Analysis up to 405Bby…
Summary of Vq4dit: Efficient Post-training Vector Quantization For Diffusion Transformers, by Juncan Deng et al.
VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformersby Juncan Deng, Shuaiting Li, Zeyu Wang, Hong…
Summary of Training-free Activation Sparsity in Large Language Models, by James Liu et al.
Training-Free Activation Sparsity in Large Language Modelsby James Liu, Pragaash Ponnusamy, Tianle Cai, Han Guo,…
Summary of Pqv-mobile: a Combined Pruning and Quantization Toolkit to Optimize Vision Transformers For Mobile Applications, by Kshitij Bhardwaj
PQV-Mobile: A Combined Pruning and Quantization Toolkit to Optimize Vision Transformers for Mobile Applicationsby Kshitij…
Summary of Integer-valued Training and Spike-driven Inference Spiking Neural Network For High-performance and Energy-efficient Object Detection, by Xinhao Luo et al.
Integer-Valued Training and Spike-Driven Inference Spiking Neural Network for High-performance and Energy-efficient Object Detectionby Xinhao…
Summary of Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inference, by Claudio Angione et al.
Model Agnostic Hybrid Sharding For Heterogeneous Distributed Inferenceby Claudio Angione, Yue Zhao, Harry Yang, Ahmad…
Summary of Mixed Non-linear Quantization For Vision Transformers, by Gihwan Kim et al.
Mixed Non-linear Quantization for Vision Transformersby Gihwan Kim, Jemin Lee, Sihyeong Park, Yongin Kwon, Hyungshin…
Summary of Compensate Quantization Errors+: Quantized Models Are Inquisitive Learners, by Yifei Gao et al.
Compensate Quantization Errors+: Quantized Models Are Inquisitive Learnersby Yifei Gao, Jie Ou, Lei Wang, Fanhua…
Summary of Qvd: Post-training Quantization For Video Diffusion Models, by Shilong Tian et al.
QVD: Post-training Quantization for Video Diffusion Modelsby Shilong Tian, Hong Chen, Chengtao Lv, Yu Liu,…