Showing 1–20 of 23 results
/ Date/ Name
Dec 6, 2023Efficient Large Language Models: A SurveyOct 29, 2025$π_\texttt{RL}$: Online RL Fine-tuning for Flow-based Vision-Language-Action ModelsOct 8, 2025RLinf-VLA: A Unified and Efficient Framework for Reinforcement Learning of Vision-Language-Action ModelsFeb 8, 2026RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AIAug 6, 2021Learning to Rank Ace Neural Architectures via Normalized Discounted Cumulative GainMar 16, 2022Privacy-preserving Online AutoML for Domain-Specific Face DetectionMar 17, 2023ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile DevicesSep 19, 2025RLinf: Flexible and Efficient Large-scale Reinforcement Learning via Macro-to-Micro Flow TransformationFeb 4, 2026WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement LearningApr 18, 2023AutoTaskFormer: Searching Vision Transformers for Multi-task LearningApr 8, 2020LadaBERT: Lightweight Adaptation of BERT through Hybrid Model CompressionOct 16, 2020How Does Supernet Help in Neural Architecture Search?Jan 6, 2020Deeper Insights into Weight Sharing in Neural Architecture SearchMay 25, 2024HETHUB: A Distributed Training System with Heterogeneous Cluster for Large-Scale ModelsSep 22, 2022Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network TrainingJul 22, 2025STAlloc: Enhancing Memory Efficiency in Large-Scale Model Training with Spatio-Temporal PlanningDec 26, 2025FUSCO: High-Performance Distributed Data Shuffling via Transformation-Communication FusionMar 15, 2023SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 InferenceJan 26, 2023PIT: Optimization of Dynamic Sparse Deep Learning Models via Permutation Invariant TransformationJan 21, 2023SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction