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Found 12 papers, 5 papers with code
Comprehensive Performance Evaluation of YOLOv11, YOLOv10, YOLOv9, YOLOv8 and YOLOv5 on Object Detection of Power Equipment
With the rapid development of global industrial production, the demand for reliability in power equipment has been continuously increasing.
Topology-aware Preemptive Scheduling for Co-located LLM Workloads
Hosting diverse large language model workloads in a unified resource pool through co-location is cost-effective.
INT-FlashAttention: Enabling Flash Attention for INT8 Quantization
As the foundation of large language models (LLMs), self-attention module faces the challenge of quadratic time and memory complexity with respect to sequence length.
ISO: Overlap of Computation and Communication within Seqenence For LLM Inference
In the realm of Large Language Model (LLM) inference, the inherent structure of transformer models coupled with the multi-GPU tensor parallelism strategy leads to a sequential execution of computation and communication.
Boosting Lossless Speculative Decoding via Feature Sampling and Partial Alignment Distillation
In this paper, we reassess these approaches and propose FSPAD (Feature Sampling and Partial Alignment Distillation for Lossless Speculative Decoding), which introduces two straightforward and effective components within the existing framework to boost lossless speculative decoding.
BaichuanSEED: Sharing the Potential of ExtensivE Data Collection and Deduplication by Introducing a Competitive Large Language Model Baseline
The general capabilities of Large Language Models (LLM) highly rely on the composition and selection on extensive pretraining datasets, treated as commercial secrets by several institutions.
Neural Graph Matching for Video Retrieval in Large-Scale Video-driven E-commerce
In this paper, we first leverage the dual graph to model the co-existing of user-video and user-item interactions in video-driven e-commerce and innovatively reduce user preference understanding to a graph matching problem.
M^3:Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask
Additionally, we created the Manipulation Mask Manufacturer Dataset (MMMD), a dataset that covers a wide range of manipulation techniques.
IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization
A comprehensive benchmark is yet to be established in the Image Manipulation Detection & Localization (IMDL) field.
Clover: Regressive Lightweight Speculative Decoding with Sequential Knowledge
Consequently, the GPU spends most of its time on memory transfer instead of computation.
Baichuan 2: Open Large-scale Language Models
Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing the need for extensive feature engineering.
Light Propagation Prediction through Multimode Optical Fibers with a Deep Neural Network
This work demonstrates a computational method for predicting the light propagation through a single multimode fiber using a deep neural network.
