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Showing 150 of 3104 papers

TitleStatusHype
PowerInfer-2: Fast Large Language Model Inference on a SmartphoneCode9
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference ServingCode9
Steering Language Models with Game-Theoretic SolversCode9
Colossal-Auto: Unified Automation of Parallelization and Activation Checkpoint for Large-scale ModelsCode7
FastSwitch: Optimizing Context Switching Efficiency in Fairness-aware Large Language Model ServingCode7
The Road Less ScheduledCode7
FlowTok: Flowing Seamlessly Across Text and Image TokensCode5
MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language ModelsCode5
AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and MaintenanceCode5
Orion-14B: Open-source Multilingual Large Language ModelsCode4
Vidur: A Large-Scale Simulation Framework For LLM InferenceCode4
FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical TrainingCode4
One Step Diffusion via Shortcut ModelsCode4
PixelsDB: Serverless and NL-Aided Data Analytics with Flexible Service Levels and PricesCode4
ServerlessLLM: Low-Latency Serverless Inference for Large Language ModelsCode4
Optimizing LLM Inference: Fluid-Guided Online Scheduling with Memory ConstraintsCode4
Planning in Strawberry Fields: Evaluating and Improving the Planning and Scheduling Capabilities of LRM o1Code3
Efficiently Serving LLM Reasoning Programs with CertaindexCode3
A Survey on Inference Optimization Techniques for Mixture of Experts ModelsCode3
A Survey on Large Language Model Acceleration based on KV Cache ManagementCode3
FlashGS: Efficient 3D Gaussian Splatting for Large-scale and High-resolution RenderingCode3
LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache ManagementCode3
Vine Copulas as Differentiable Computational GraphsCode3
Fairness in Serving Large Language ModelsCode3
Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing SystemCode3
FlashDMoE: Fast Distributed MoE in a Single KernelCode3
Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-ServeCode3
MNN: A Universal and Efficient Inference EngineCode3
Piloting Structure-Based Drug Design via Modality-Specific Optimal ScheduleCode2
Confucius3-Math: A Lightweight High-Performance Reasoning LLM for Chinese K-12 Mathematics LearningCode2
Characterization of Large Language Model Development in the DatacenterCode2
Chat AI: A Seamless Slurm-Native Solution for HPC-Based ServicesCode2
NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video EditingCode2
MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical NeedsCode2
AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real WorldCode2
ChaCha for Online AutoMLCode2
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further TuningCode2
Preble: Efficient Distributed Prompt Scheduling for LLM ServingCode2
AttentionEngine: A Versatile Framework for Efficient Attention Mechanisms on Diverse Hardware PlatformsCode2
Learning to Solve Job Shop Scheduling under UncertaintyCode2
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor ProgramsCode2
Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-FlowCode2
Human-in-the-Loop Large-Scale Predictive Maintenance of WorkstationsCode2
mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUsCode2
HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE InferenceCode2
ALE-Bench: A Benchmark for Long-Horizon Objective-Driven Algorithm EngineeringCode2
evosax: JAX-based Evolution StrategiesCode2
ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement LearningCode2
BMInf: An Efficient Toolkit for Big Model Inference and TuningCode2
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource AllocationCode2
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