{"total":20,"rows":[{"id":"2408.00741","title":"DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency","created":"2024-08-01","cited_by_count":112,"area":null},{"id":"2407.12391","title":"LLM Inference Serving: Survey of Recent Advances and Opportunities","created":"2024-07-17","cited_by_count":46,"area":null},{"id":"2504.08784","title":"SLOs-Serve: Optimized Serving of Multi-SLO LLMs","created":"2025-04-05","cited_by_count":19,"area":null},{"id":"2505.17505","title":"L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models","created":"2025-05-23","cited_by_count":15,"area":null},{"id":"2407.04581","title":"Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions","created":"2024-07-05","cited_by_count":10,"area":null},{"id":"2508.00234","title":"Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts","created":"2025-08-01","cited_by_count":7,"area":null},{"id":"2510.14392","title":"FairBatching: Fairness-Aware Batch Formation for LLM Inference","created":"2025-10-16","cited_by_count":6,"area":null},{"id":"2511.13061","title":"MACKO: Sparse Matrix-Vector Multiplication for Low Sparsity","created":"2025-11-17","cited_by_count":6,"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":"2505.17694","title":"CoDec: Prefix-Shared Decoding Kernel for LLMs","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2510.15951","title":"Attention to Non-Adopters","created":"2025-10-10","cited_by_count":4,"area":null},{"id":"2405.08965","title":"MTP: A Meaning-Typed Language Abstraction for AI-Integrated Programming","created":"2024-05-14","cited_by_count":3,"area":null},{"id":"2503.13737","title":"AccelGen: Heterogeneous SLO-Guaranteed High-Throughput LLM Inference Serving for Diverse Applications","created":"2025-03-17","cited_by_count":2,"area":null},{"id":"2510.02822","title":"FlexiQ: Adaptive Mixed-Precision Quantization for Latency/Accuracy Trade-Offs in Deep Neural Networks","created":"2025-10-03","cited_by_count":1,"area":null},{"id":"2604.13806","title":"Robust Ultra Low-Bit Post-Training Quantization via Stable Diagonal Curvature Estimate","created":"2026-04-15","cited_by_count":1,"area":null},{"id":"2607.17175","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","created":"2026-07-19","cited_by_count":1,"area":null},{"id":"2411.09580","title":"Software Performance Engineering for Foundation Model-Powered Software","created":"2024-11-14","cited_by_count":0,"area":null},{"id":"2602.00014","title":"What Artificial Intelligence can do for High-Performance Computing systems?","created":"2026-01-03","cited_by_count":0,"area":null},{"id":"2607.08786","title":"Accelerating GPU Inference of Large Language Models with Moderately Unstructured Sparse Weight Matrices","created":"2026-06-13","cited_by_count":0,"area":null},{"id":"2609.00442","title":"DRLM: Deep Reinforcement Learning-Based LLM Query Orchestration in Edge Environments","created":"2026-08-31","cited_by_count":0,"area":null}],"next_cursor":null}