{"total":22,"rows":[{"id":"2310.05209","title":"Scaling Laws of RoPE-based Extrapolation","created":"2023-10-08","cited_by_count":125,"area":null},{"id":"2410.18745","title":"Why Does the Effective Context Length of LLMs Fall Short?","created":"2024-10-24","cited_by_count":63,"area":null},{"id":"2411.01783","title":"Context Parallelism for Scalable Million-Token Inference","created":"2024-11-04","cited_by_count":26,"area":null},{"id":"2412.01523","title":"FlexSP: Accelerating Large Language Model Training via Flexible Sequence Parallelism","created":"2024-12-02","cited_by_count":19,"area":null},{"id":"2311.05610","title":"Efficient Parallelization Layouts for Large-Scale Distributed Model Training","created":"2023-11-09","cited_by_count":8,"area":null},{"id":"2412.07894","title":"Hydraulis: Balancing Large Transformer Model Training via Co-designing Parallel Strategies and Data Assignment","created":"2024-12-10","cited_by_count":3,"area":null},{"id":"2505.24179","title":"SALE : Low-bit Estimation for Efficient Sparse Attention in Long-context LLM Prefilling","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2506.13996","title":"Arctic Long Sequence Training: Scalable And Efficient Training For Multi-Million Token Sequences","created":"2025-06-16","cited_by_count":3,"area":null},{"id":"2607.14952","title":"LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget","created":"2026-07-16","cited_by_count":3,"area":null},{"id":"2507.00394","title":"HelixPipe: Efficient Distributed Training of Long Sequence Transformers with Attention Parallel Pipeline Parallelism","created":"2025-07-01","cited_by_count":2,"area":null},{"id":"2507.16697","title":"Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit","created":"2025-07-22","cited_by_count":1,"area":null},{"id":"2508.04925","title":"Why Attention Fails: A Taxonomy of Faults in Attention-Based Neural Networks","created":"2025-08-06","cited_by_count":1,"area":null},{"id":"2509.25044","title":"A Scalable Distributed Framework for Multimodal GigaVoxel Image Registration","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2602.21788","title":"Efficient Scaling of LLM Training with Flexible Context Parallelism","created":"2026-02-25","cited_by_count":1,"area":null},{"id":"2508.04711","title":"Scaling Generative Recommendations with Context Parallelism on Hierarchical Sequential Transducers","created":"2025-07-23","cited_by_count":0,"area":null},{"id":"2509.26541","title":"TASP: Topology-aware Sequence Parallelism","created":"2025-09-30","cited_by_count":0,"area":null},{"id":"2603.04127","title":"Data-Aware Random Feature Kernel for Transformers","created":"2026-03-04","cited_by_count":0,"area":null},{"id":"2604.20819","title":"Stream-CQSA: Exact Out-of-Memory Recovery for Attention","created":"2026-04-22","cited_by_count":0,"area":null},{"id":"2604.23798","title":"ELSA: Exact Linear-Scan Attention for Fast and Memory-Light Vision Transformers","created":"2026-04-26","cited_by_count":0,"area":null},{"id":"2609.19924","title":"The Life of a Token: from Words to Bits on the Wire","created":"2026-09-17","cited_by_count":0,"area":null},{"id":"2609.24089","title":"FlashBoB: I/O-Efficient Exact Backward-over-Backward for Softmax Attention","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2610.17901","title":"FlashMask-3: Efficient and Expressive Mask-Aware Distributed Attention","created":"2026-10-13","cited_by_count":0,"area":null}],"next_cursor":null}