{"total":68,"rows":[{"id":"2412.19442","title":"A Survey on Large Language Model Acceleration based on KV Cache Management","created":"2024-12-27","cited_by_count":131,"area":"lr"},{"id":"2410.15332","title":"EPIC: Efficient Position-Independent Caching for Serving Large Language Models","created":"2024-10-20","cited_by_count":47,"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":"2508.15734","title":"Measuring the environmental impact of delivering AI at Google Scale","created":"2025-08-21","cited_by_count":32,"area":null},{"id":"2504.02441","title":"Cognitive Memory in Large Language Models","created":"2025-04-03","cited_by_count":29,"area":null},{"id":"2408.08147","title":"P/D-Serve: Serving Disaggregated Large Language Model at Scale","created":"2024-08-15","cited_by_count":27,"area":"inference"},{"id":"2508.18572","title":"Strata: Hierarchical Context Caching for Long Context Language Model Serving","created":"2025-08-26","cited_by_count":26,"area":"inference"},{"id":"2504.08784","title":"SLOs-Serve: Optimized Serving of Multi-SLO LLMs","created":"2025-04-05","cited_by_count":19,"area":null},{"id":"2502.00937","title":"ModServe: Modality- and Stage-Aware Resource Disaggregation for Scalable Multimodal Model Serving","created":"2025-02-02","cited_by_count":18,"area":"mllm"},{"id":"2412.10543","title":"METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation","created":"2024-12-13","cited_by_count":17,"area":"rag"},{"id":"2504.19867","title":"semi-PD: Towards Efficient LLM Serving via Phase-Wise Disaggregated Computation and Unified Storage","created":"2025-04-28","cited_by_count":16,"area":"inference"},{"id":"2509.04467","title":"PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in Inference","created":"2025-08-29","cited_by_count":14,"area":"inference"},{"id":"2509.20241","title":"Energy Use of AI Inference, Efficiency Pathways, and Test-Time Scaling","created":"2025-09-24","cited_by_count":13,"area":null},{"id":"2511.20172","title":"Beluga: A CXL-Based Memory Architecture for Scalable and Efficient LLM KVCache Management","created":"2025-11-25","cited_by_count":11,"area":"inference"},{"id":"2504.03775","title":"FlowKV: A Disaggregated Inference Framework with Low-Latency KV Cache Transfer and Load-Aware Scheduling","created":"2025-04-03","cited_by_count":10,"area":"inference"},{"id":"2506.05508","title":"Beyond the Buzz: A Pragmatic Take on Inference Disaggregation","created":"2025-06-05","cited_by_count":9,"area":null},{"id":"2501.14743","title":"KVDirect: Distributed Disaggregated LLM Inference","created":"2024-12-13","cited_by_count":8,"area":"inference"},{"id":"2502.01960","title":"MPIC: Position-Independent Multimodal Context Caching System for Efficient MLLM Serving","created":"2025-02-04","cited_by_count":8,"area":"mllm"},{"id":"2409.11057","title":"KVPruner: Structural Pruning for Faster and Memory-Efficient Large Language Models","created":"2024-09-17","cited_by_count":6,"area":null},{"id":"2503.08415","title":"TokenSim: Enabling Hardware and Software Exploration for Large Language Model Inference Systems","created":"2025-03-11","cited_by_count":6,"area":"inference"},{"id":"2510.14392","title":"FairBatching: Fairness-Aware Batch Formation for LLM Inference","created":"2025-10-16","cited_by_count":6,"area":null},{"id":"2505.11916","title":"Arrow: Adaptive Scheduling Mechanisms for Disaggregated LLM Inference Architecture","created":"2025-05-17","cited_by_count":5,"area":"inference"},{"id":"2507.17120","title":"BucketServe: Bucket-Based Dynamic Batching for Smart and Efficient LLM Inference Serving","created":"2025-07-23","cited_by_count":5,"area":"inference"},{"id":"2606.01065","title":"Leyline: KV Cache Directives for Agentic Inference","created":"2026-05-31","cited_by_count":5,"area":"agents"},{"id":"2505.17694","title":"CoDec: Prefix-Shared Decoding Kernel for LLMs","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2506.11104","title":"DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference Acceleration","created":"2025-06-06","cited_by_count":4,"area":"inference"},{"id":"2511.04791","title":"DuetServe: Harmonizing Prefill and Decode for LLM Serving via Adaptive GPU Multiplexing","created":"2025-11-06","cited_by_count":4,"area":"inference"},{"id":"2604.24039","title":"AgenticCache: Cache-Driven Asynchronous Planning for Embodied AI Agents","created":"2026-04-27","cited_by_count":4,"area":"agents"},{"id":"2607.08057","title":"Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization","created":"2026-07-09","cited_by_count":4,"area":"inference"},{"id":"2509.16857","title":"ShadowServe: Interference-Free KV Cache Fetching for Distributed Prefix Caching","created":"2025-09-21","cited_by_count":3,"area":"inference"},{"id":"2510.13223","title":"BanaServe: Unified KV Cache and Dynamic Module Migration for Balancing Disaggregated LLM Serving in AI Infrastructure","created":"2025-10-15","cited_by_count":3,"area":"inference"},{"id":"2601.03043","title":"Lil: Less is Less When Applying Post-Training Sparse-Attention Algorithms in Long-Decode Stage","created":"2026-01-06","cited_by_count":3,"area":null},{"id":"2411.14592","title":"G-RAG: Knowledge Expansion in Material Science","created":"2024-11-21","cited_by_count":2,"area":null},{"id":"2502.11417","title":"DiSCo: Device-Server Collaborative LLM-Based Text Streaming Services","created":"2025-02-17","cited_by_count":2,"area":null},{"id":"2508.18736","title":"Rethinking Caching for LLM Serving Systems: Beyond Traditional Heuristics","created":"2025-08-26","cited_by_count":2,"area":"lr"},{"id":"2512.16134","title":"Staggered Batch Scheduling: Co-optimizing Time-to-First-Token and Throughput for High-Efficiency LLM Inference","created":"2025-12-18","cited_by_count":2,"area":null},{"id":"2601.01712","title":"RelayGR: Scaling Long-Sequence Generative Recommendation via Cross-Stage Relay-Race Inference","created":"2026-01-05","cited_by_count":2,"area":null},{"id":"2601.20309","title":"SuperInfer: SLO-Aware Rotary Scheduling and Memory Management for LLM Inference on Superchips","created":"2026-01-28","cited_by_count":2,"area":"inference"},{"id":"2606.01839","title":"Observation, Not Prediction: Conversation-Level Disaggregated Scheduling for Agentic Serving","created":"2026-06-01","cited_by_count":2,"area":"agents"},{"id":"2607.10987","title":"[AAFLOW+] Stateful Operator Abstraction with Zero-Copy Distributed KV Cache Orchestration for Multi-Agent Workflows","created":"2026-07-13","cited_by_count":2,"area":"inference"},{"id":"2411.15399","title":"Less is More: Optimizing Function Calling for LLM Execution on Edge Devices","created":"2024-11-23","cited_by_count":1,"area":"agents"},{"id":"2510.18672","title":"Reasoning Language Model Inference Serving Unveiled: An Empirical Study","created":"2025-10-21","cited_by_count":1,"area":"lr"},{"id":"2602.09725","title":"Efficient Remote KV Cache Reuse with GPU-native Video Codec","created":"2026-02-10","cited_by_count":1,"area":"inference"},{"id":"2603.04716","title":"SLO-Aware Compute Resource Allocation for Prefill-Decode Disaggregated LLM Inference","created":"2026-03-05","cited_by_count":1,"area":"inference"},{"id":"2603.08739","title":"Adaptive Multi-Objective Tiered Storage Configuration for KV Cache in LLM Service","created":"2026-02-25","cited_by_count":1,"area":"inference"},{"id":"2603.17456","title":"Stage-Aware Communication Scheduling for Disaggregated LLM Serving","created":"2026-03-18","cited_by_count":1,"area":"inference"},{"id":"2605.22850","title":"ObjectCache: Layerwise Object-Storage Retrieval for KV Cache Reuse","created":"2026-05-16","cited_by_count":1,"area":"inference"},{"id":"2608.25523","title":"TOPAS: Workflow-Aware Prefix-State Scheduling for Multi-Agent LLM Serving","created":"2026-08-26","cited_by_count":1,"area":"agents"},{"id":"2509.09560","title":"Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution","created":"2025-09-11","cited_by_count":0,"area":null},{"id":"2511.02248","title":"From Models to Operators: Rethinking Autoscaling Granularity for Large Generative Models","created":"2025-11-04","cited_by_count":0,"area":"lr"},{"id":"2511.22481","title":"OmniInfer: System-Wide Acceleration Techniques for Optimizing LLM Serving Throughput and Latency","created":"2025-11-27","cited_by_count":0,"area":"inference"},{"id":"2601.11590","title":"EPD-Serve: A Flexible Multimodal EPD Disaggregation Inference Serving System On Ascend","created":"2026-01-05","cited_by_count":0,"area":"mllm"},{"id":"2603.07917","title":"SageSched: Efficient LLM Scheduling Confronting Demand Uncertainty and Hybridity","created":"2026-03-09","cited_by_count":0,"area":"inference"},{"id":"2603.27960","title":"Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies","created":"2026-03-30","cited_by_count":0,"area":"lr"},{"id":"2606.16264","title":"Tropical: Enhancing SLO Attainment in Disaggregated LLM Serving via SLO-Aware Multiplexing","created":"2026-06-15","cited_by_count":0,"area":"inference"},{"id":"2606.22541","title":"ASAP: A Disaggregated and Asynchronous Inference System for MoE Prefill","created":"2026-06-21","cited_by_count":0,"area":"moe"},{"id":"2607.02574","title":"From Tensor Buffer to Distributed Memory Hierarchy: A Survey of KV Cache Management for LLM Serving","created":"2026-06-30","cited_by_count":0,"area":"inference"},{"id":"2607.17181","title":"Talaria: Session-Aware Serverless Serving of Hundred-Billion-Parameter LLMs","created":"2026-07-19","cited_by_count":0,"area":null},{"id":"2608.01891","title":"Energy-Efficient LLM Serving via Disaggregated Attention--FFN and Flexible Frequency Scaling","created":"2026-08-03","cited_by_count":0,"area":"inference"},{"id":"2608.04502","title":"AFD-Ledger: Deployment Provisioning for Attention--FFN Disaggregation","created":"2026-08-05","cited_by_count":0,"area":"moe"},{"id":"2608.16336","title":"Beyond Binary Priorities: Multi-Tier SLA Scheduling for Large Language Model Serving","created":"2026-08-17","cited_by_count":0,"area":"inference"},{"id":"2609.03494","title":"GrowPage: On-Demand KV Budgeting for Efficient LLM Reasoning Serving","created":"2026-09-03","cited_by_count":0,"area":"lr"},{"id":"2609.11744","title":"Building py-kvcache: A Performance Characterization of External KV Caching for vLLM with NVMe SSDs","created":"2026-09-10","cited_by_count":0,"area":"inference"},{"id":"2609.13537","title":"Dynamic HBM Repartitioning for Multi-Turn MoE Serving","created":"2026-09-11","cited_by_count":0,"area":"moe"},{"id":"2609.19657","title":"PrefixBench-H100: Characterizing Prefix Reuse and Time-to-First-Token in H100 LLM Serving","created":"2026-09-17","cited_by_count":0,"area":"inference"},{"id":"2609.23130","title":"From Inference Engine to Inference Control Plane: Connecting vLLM, llm-d, and the Evolution of Efficient Distributed LLM Serving","created":"2026-09-19","cited_by_count":0,"area":"inference"},{"id":"2609.23816","title":"SPLASH: Co-Designing Sparse Attention with High-Bandwidth Flash for Efficient Long-Context Inference","created":"2026-09-20","cited_by_count":0,"area":"inference"},{"id":"2610.18451","title":"FastEEP: Fast Intra-Instance Elastic Scaling for Expert-Parallel MoE Serving","created":"2026-10-13","cited_by_count":0,"area":"moe"}],"next_cursor":null}