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Showing 51–75 of 3104 papers

TitleStatusHype
Preble: Efficient Distributed Prompt Scheduling for LLM ServingCode2
WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace SettingCode2
FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource AllocationCode2
MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical NeedsCode2
Characterization of Large Language Model Development in the DatacenterCode2
Learning to Solve Job Shop Scheduling under UncertaintyCode2
DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)Code2
DPoser: Diffusion Model as Robust 3D Human Pose PriorCode2
mLoRA: Fine-Tuning LoRA Adapters via Highly-Efficient Pipeline Parallelism in Multiple GPUsCode2
Zero Bubble Pipeline ParallelismCode2
SkiROS2: A skill-based Robot Control Platform for ROSCode2
evosax: JAX-based Evolution StrategiesCode2
Hidet: Task-Mapping Programming Paradigm for Deep Learning Tensor ProgramsCode2
Human-in-the-Loop Large-Scale Predictive Maintenance of WorkstationsCode2
BMInf: An Efficient Toolkit for Big Model Inference and TuningCode2
TGL: A General Framework for Temporal GNN Training on Billion-Scale GraphsCode2
ElegantRL-Podracer: Scalable and Elastic Library for Cloud-Native Deep Reinforcement LearningCode2
ChaCha for Online AutoMLCode2
ConsumerBench: Benchmarking Generative AI Applications on End-User DevicesCode1
All is Not Lost: LLM Recovery without CheckpointsCode1
A Production Scheduling Framework for Reinforcement Learning Under Real-World ConstraintsCode1
Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long ContextsCode1
Time to Talk: LLM Agents for Asynchronous Group Communication in Mafia GamesCode1
Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent VisibilityCode1
Decoupling Spatio-Temporal Prediction: When Lightweight Large Models Meet Adaptive HypergraphsCode1
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