{"total":25,"rows":[{"id":"2602.08794","title":"MOVA: Towards Scalable and Synchronized Video-Audio Generation","created":"2026-02-09","cited_by_count":43,"area":null},{"id":"2412.18619","title":"Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey","created":"2024-12-16","cited_by_count":27,"area":null},{"id":"2411.01783","title":"Context Parallelism for Scalable Million-Token Inference","created":"2024-11-04","cited_by_count":26,"area":null},{"id":"2604.10905","title":"Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music","created":"2026-04-13","cited_by_count":19,"area":null},{"id":"2501.09706","title":"Domain Adaptation of Foundation LLMs for e-Commerce","created":"2025-01-16","cited_by_count":9,"area":null},{"id":"2510.10620","title":"DCP: Addressing Input Dynamism In Long-Context Training via Dynamic Context Parallelism","created":"2025-10-12","cited_by_count":7,"area":null},{"id":"2407.12117","title":"MEMO: Fine-grained Tensor Management For Ultra-long Context LLM Training","created":"2024-07-16","cited_by_count":5,"area":null},{"id":"2409.15104","title":"PecSched: Preemptive and Efficient Cluster Scheduling for LLM Inference","created":"2024-09-23","cited_by_count":4,"area":null},{"id":"2505.22296","title":"360-LLaMA-Factory: Plug & Play Sequence Parallelism for Long Post-Training","created":"2025-05-28","cited_by_count":4,"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":"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":"2604.05182","title":"LSRM: High-Fidelity Object-Centric Reconstruction via Scaled Context Windows","created":"2026-04-06","cited_by_count":2,"area":null},{"id":"2607.26694","title":"Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generation","created":"2026-07-29","cited_by_count":2,"area":null},{"id":"2510.18830","title":"MTraining: Distributed Dynamic Sparse Attention for Efficient Ultra-Long Context Training","created":"2025-10-21","cited_by_count":1,"area":null},{"id":"2608.11745","title":"LiveAnimate: Stable Long-Form Streaming Human Animation in Real-Time","created":"2026-08-12","cited_by_count":1,"area":null},{"id":"2609.08368","title":"Miles v0.1: Production-Level Post-Training","created":"2026-09-08","cited_by_count":1,"area":null},{"id":"2503.15758","title":"ATTENTION2D: Communication Efficient Distributed Self-Attention Mechanism","created":"2025-03-20","cited_by_count":0,"area":null},{"id":"2603.05800","title":"StreamWise: Serving Multi-Modal Generation in Real-Time at Scale","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2607.23264","title":"X-Stage: Modeling Post-Issue Backpressure in GPU Communication--Computation Fusion","created":"2026-07-25","cited_by_count":0,"area":null},{"id":"2608.07524","title":"Training Variable Long Sequences with Data-Centric Parallel","created":"2026-07-14","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":"2609.35263","title":"WavePP: High-Throughput Pipeline Parallel LLM Prefill under Prefix Reuse","created":"2026-09-28","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}