Showing 1–10 of 10 results
/ Date/ Name
Apr 23, 2026ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading FailuresFeb 19, 2026Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community VisionJan 19, 2026Unleashing Efficient Asynchronous RL Post-Training via Staleness-Constrained Rollout CoordinationSep 1, 2025LobRA: Multi-tenant Fine-tuning over Heterogeneous DataApr 29, 2025Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data AnnotationsMar 3, 2025Building Machine Learning Challenges for Anomaly Detection in ScienceDec 10, 2024Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data AssignmentOct 17, 2024Malleus: Straggler-Resilient Hybrid Parallel Training of Large-scale Models via Malleable Data and Model ParallelizationMay 27, 2023Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion InferenceDec 9, 2022FAIR AI Models in High Energy Physics