Summary of The Evolution Of Rwkv: Advancements in Efficient Language Modeling, by Akul Datta
The Evolution of RWKV: Advancements in Efficient Language Modelingby Akul DattaFirst submitted to arxiv on:…
Summary of Fast and Memory-efficient Video Diffusion Using Streamlined Inference, by Zheng Zhan et al.
Fast and Memory-Efficient Video Diffusion Using Streamlined Inferenceby Zheng Zhan, Yushu Wu, Yifan Gong, Zichong…
Summary of Edt: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketching, By Xinwang Chen and Ning Liu and Yichen Zhu and Feifei Feng and Jian Tang
EDT: An Efficient Diffusion Transformer Framework Inspired by Human-like Sketchingby Xinwang Chen, Ning Liu, Yichen…
Summary of Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs, by Simon Ferreira and Charles K. Assaad
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphsby Simon Ferreira, Charles…
Summary of Yolov11 For Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systems, by Mujadded Al Rabbani Alif
YOLOv11 for Vehicle Detection: Advancements, Performance, and Applications in Intelligent Transportation Systemsby Mujadded Al Rabbani…
Summary of Buzz: Beehive-structured Sparse Kv Cache with Segmented Heavy Hitters For Efficient Llm Inference, by Junqi Zhao et al.
BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM Inferenceby Junqi Zhao,…
Summary of Teaching a Language Model to Distinguish Between Similar Details Using a Small Adversarial Training Set, by Chris Achard
Teaching a Language Model to Distinguish Between Similar Details using a Small Adversarial Training Setby…
Summary of Vl-cache: Sparsity and Modality-aware Kv Cache Compression For Vision-language Model Inference Acceleration, by Dezhan Tu et al.
VL-Cache: Sparsity and Modality-Aware KV Cache Compression for Vision-Language Model Inference Accelerationby Dezhan Tu, Danylo…
Summary of Kernel Looping: Eliminating Synchronization Boundaries For Peak Inference Performance, by David Koeplinger et al.
Kernel Looping: Eliminating Synchronization Boundaries for Peak Inference Performanceby David Koeplinger, Darshan Gandhi, Pushkar Nandkar,…
Summary of Scaling Llm Inference with Optimized Sample Compute Allocation, by Kexun Zhang et al.
Scaling LLM Inference with Optimized Sample Compute Allocationby Kexun Zhang, Shang Zhou, Danqing Wang, William…