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Showing 150 of 2231 papers

TitleStatusHype
Magika: AI-Powered Content-Type DetectionCode11
WebLLM: A High-Performance In-Browser LLM Inference EngineCode11
Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation ModelsCode9
PowerInfer-2: Fast Large Language Model Inference on a SmartphoneCode9
PP-DocLayout: A Unified Document Layout Detection Model to Accelerate Large-Scale Data ConstructionCode9
Full Scaling Automation for Sustainable Development of Green Data CentersCode7
Elixir: Train a Large Language Model on a Small GPU ClusterCode7
Mooncake: A KVCache-centric Disaggregated Architecture for LLM ServingCode7
Chinese-Vicuna: A Chinese Instruction-following Llama-based ModelCode7
Bridging Evolutionary Multiobjective Optimization and GPU Acceleration via TensorizationCode7
Fast On-device LLM Inference with NPUsCode5
PowerInfer: Fast Large Language Model Serving with a Consumer-grade GPUCode5
Faster Segment Anything: Towards Lightweight SAM for Mobile ApplicationsCode5
Extreme Compression of Large Language Models via Additive QuantizationCode5
Vectorized and performance-portable QuicksortCode5
XFeat: Accelerated Features for Lightweight Image MatchingCode5
FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUCode5
Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time SeriesCode4
GPUTreeShap: Massively Parallel Exact Calculation of SHAP Scores for Tree EnsemblesCode4
Data-Prep-Kit: getting your data ready for LLM application developmentCode4
SocialED: A Python Library for Social Event DetectionCode4
FFCV: Accelerating Training by Removing Data BottlenecksCode4
SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion PlanningCode4
PLAID: An Efficient Engine for Late Interaction RetrievalCode4
EfficientViT: Multi-Scale Linear Attention for High-Resolution Dense PredictionCode4
70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length FloatCode4
DeepFilterNet: Perceptually Motivated Real-Time Speech EnhancementCode4
DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented ScaleCode4
The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language ModelsCode4
T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on EdgeCode4
Look Once to Hear: Target Speech Hearing with Noisy ExamplesCode4
DAMO-YOLO : A Report on Real-Time Object Detection DesignCode4
InternLM2.5-StepProver: Advancing Automated Theorem Proving via Expert Iteration on Large-Scale LEAN ProblemsCode4
Vidur: A Large-Scale Simulation Framework For LLM InferenceCode4
Couler: Unified Machine Learning Workflow Optimization in CloudCode4
DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band AudioCode4
GPU-accelerated Evolutionary Many-objective Optimization Using Tensorized NSGA-IIICode3
Take the aTrain. Introducing an Interface for the Accessible Transcription of InterviewsCode3
Unlimiformer: Long-Range Transformers with Unlimited Length InputCode3
FlashDMoE: Fast Distributed MoE in a Single KernelCode3
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts ModelsCode3
Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden IntermediatesCode3
SoundStream: An End-to-End Neural Audio CodecCode3
Performance Analysis of Open Source Machine Learning Frameworks for Various Parameters in Single-Threaded and Multi-Threaded ModesCode3
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data ProcessingCode3
NGD-SLAM: Towards Real-Time Dynamic SLAM without GPUCode3
Observation-Centric SORT: Rethinking SORT for Robust Multi-Object TrackingCode3
MagicPIG: LSH Sampling for Efficient LLM GenerationCode3
A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation ModelsCode3
Inference Performance Optimization for Large Language Models on CPUsCode3
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