{"total":112,"rows":[{"id":"2404.14294","title":"A Survey on Efficient Inference for Large Language Models","created":"2024-04-22","cited_by_count":205,"area":"inference"},{"id":"2407.00079","title":"Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving","created":"2024-06-24","cited_by_count":196,"area":"inference"},{"id":"2406.17565","title":"MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool","created":"2024-06-25","cited_by_count":68,"area":"inference"},{"id":"2407.05858","title":"Fast On-device LLM Inference with NPUs","created":"2024-07-08","cited_by_count":62,"area":null},{"id":"2504.15930","title":"StreamRL: Scalable, Heterogeneous, and Elastic RL for LLMs with Disaggregated Stream Generation","created":"2025-04-22","cited_by_count":61,"area":null},{"id":"2410.18038","title":"POD-Attention: Unlocking Full Prefill-Decode Overlap for Faster LLM Inference","created":"2024-10-23","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":"2506.02634","title":"KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider","created":"2025-06-03","cited_by_count":41,"area":"inference"},{"id":"2510.12872","title":"KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems","created":"2025-10-14","cited_by_count":40,"area":"agents"},{"id":"2407.00326","title":"Teola: Towards End-to-End Optimization of LLM-based Applications","created":"2024-06-29","cited_by_count":32,"area":null},{"id":"2504.02263","title":"MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism","created":"2025-04-03","cited_by_count":32,"area":"moe"},{"id":"2411.19379","title":"Marconi: Prefix Caching for the Era of Hybrid LLMs","created":"2024-11-28","cited_by_count":31,"area":null},{"id":"2501.02600","title":"TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms","created":"2025-01-05","cited_by_count":29,"area":null},{"id":"2505.09999","title":"ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production","created":"2025-05-15","cited_by_count":29,"area":"inference"},{"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":"2411.01783","title":"Context Parallelism for Scalable Million-Token Inference","created":"2024-11-04","cited_by_count":26,"area":null},{"id":"2503.18292","title":"Jenga: Effective Memory Management for Serving LLM with Heterogeneity","created":"2025-03-24","cited_by_count":25,"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":"2412.10543","title":"METIS: Fast Quality-Aware RAG Systems with Configuration Adaptation","created":"2024-12-13","cited_by_count":17,"area":"rag"},{"id":"2410.00428","title":"LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management","created":"2024-10-01","cited_by_count":16,"area":"inference"},{"id":"2504.19720","title":"Taming the Titans: A Survey of Efficient LLM Inference Serving","created":"2025-04-28","cited_by_count":16,"area":"inference"},{"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":"2502.15524","title":"HydraServe: Minimizing Cold Start Latency for Serverless LLM Serving in Public Clouds","created":"2025-02-21","cited_by_count":14,"area":"inference"},{"id":"2409.17264","title":"No Request Left Behind: Tackling Heterogeneity in Long-Context LLM Inference with Medha","created":"2024-09-25","cited_by_count":13,"area":null},{"id":"2502.04563","title":"WaferLLM: Large Language Model Inference at Wafer Scale","created":"2025-02-06","cited_by_count":13,"area":"inference"},{"id":"2505.02922","title":"RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference","created":"2025-05-05","cited_by_count":13,"area":"inference"},{"id":"2509.26182","title":"Parallax: Efficient LLM Inference Service over Decentralized Environment","created":"2025-09-30","cited_by_count":12,"area":"inference"},{"id":"2412.18169","title":"KunServe: Parameter-centric Memory Management for Efficient Memory Overloading Handling in LLM Serving","created":"2024-12-24","cited_by_count":11,"area":"inference"},{"id":"2507.09019","title":"On Evaluating Performance of LLM Inference Serving Systems","created":"2025-07-11","cited_by_count":10,"area":"inference"},{"id":"2510.02758","title":"TokenFlow: Responsive LLM Text Streaming Serving under Request Burst via Preemptive Scheduling","created":"2025-10-03","cited_by_count":10,"area":"inference"},{"id":"2503.04398","title":"Semantic Parallelism: Redefining Efficient MoE Inference via Model-Data Co-Scheduling","created":"2025-03-06","cited_by_count":9,"area":"moe"},{"id":"2511.17560","title":"$A^3$: Attention-Aware Accurate KV Cache Fusion for Fast Large Language Model Serving","created":"2025-11-13","cited_by_count":8,"area":"rag"},{"id":"2602.06502","title":"DualMap: Enabling Both Cache Affinity and Load Balancing for Distributed LLM Serving","created":"2026-02-06","cited_by_count":8,"area":"inference"},{"id":"2507.07120","title":"Helix Parallelism: Rethinking Sharding Strategies for Interactive Multi-Million-Token LLM Decoding","created":"2025-07-07","cited_by_count":7,"area":"inference"},{"id":"2507.10069","title":"ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism","created":"2025-07-14","cited_by_count":7,"area":"mllm"},{"id":"2605.13734","title":"KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving","created":"2026-05-13","cited_by_count":7,"area":"inference"},{"id":"2504.09285","title":"DynaServe: Unified and Elastic Execution for Dynamic Disaggregated LLM Serving","created":"2025-04-12","cited_by_count":6,"area":"inference"},{"id":"2510.05497","title":"Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference","created":"2025-10-07","cited_by_count":6,"area":"moe"},{"id":"2510.08544","title":"SPAD: Specialized Prefill and Decode Hardware for Disaggregated LLM Inference","created":"2025-10-09","cited_by_count":6,"area":null},{"id":"2602.22593","title":"FLYING SERVING: On-the-Fly Parallelism Switching for Large Language Model Serving","created":"2026-02-26","cited_by_count":6,"area":"inference"},{"id":"2505.11916","title":"Arrow: Adaptive Scheduling Mechanisms for Disaggregated LLM Inference Architecture","created":"2025-05-17","cited_by_count":5,"area":"inference"},{"id":"2506.15155","title":"eLLM: Elastic Memory Management Framework for Efficient LLM Serving","created":"2025-06-18","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":"2508.17219","title":"TokenLake: A Unified Segment-level Prefix Cache Pool for Fine-grained Elastic Long-Context LLM Serving","created":"2025-08-24","cited_by_count":5,"area":"inference"},{"id":"2509.11914","title":"EgoMem: Lifelong Memory Agent for Full-duplex Omnimodal Models","created":"2025-09-15","cited_by_count":5,"area":"agents"},{"id":"2512.09472","title":"WarmServe: Enabling One-for-Many GPU Prewarming for Multi-LLM Serving","created":"2025-12-10","cited_by_count":5,"area":"inference"},{"id":"2602.18755","title":"DualScale: Energy-Efficient Disaggregated LLM Serving via Phase-Aware Placement and DVFS","created":"2026-02-21","cited_by_count":5,"area":"inference"},{"id":"2409.15104","title":"PecSched: Preemptive and Efficient Cluster Scheduling for LLM Inference","created":"2024-09-23","cited_by_count":4,"area":null},{"id":"2412.13437","title":"Deploying Foundation Model Powered Agent Services: A Survey","created":"2024-12-18","cited_by_count":4,"area":"agents"},{"id":"2504.19516","title":"Boosting LLM Serving through Spatial-Temporal GPU Resource Sharing","created":"2025-04-28","cited_by_count":4,"area":"inference"},{"id":"2504.20828","title":"Ascendra: Dynamic Request Prioritization for Efficient LLM Serving","created":"2025-04-29","cited_by_count":4,"area":"inference"},{"id":"2505.17694","title":"CoDec: Prefix-Shared Decoding Kernel for LLMs","created":"2025-05-23","cited_by_count":4,"area":null},{"id":"2507.17133","title":"BrownoutServe: SLO-Aware Inference Serving under Bursty Workloads for MoE-based LLMs","created":"2025-07-23","cited_by_count":4,"area":"moe"},{"id":"2510.01565","title":"TetriServe: Efficiently Serving Mixed DiT Workloads","created":"2025-10-02","cited_by_count":4,"area":"diffusion"},{"id":"2511.16193","title":"Fast LLM Post-training via Decoupled and Fastest-of-N Speculation","created":"2025-11-20","cited_by_count":4,"area":"inference"},{"id":"2604.26837","title":"Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving","created":"2026-04-29","cited_by_count":4,"area":"inference"},{"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":"2405.11299","title":"The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving","created":"2024-05-18","cited_by_count":3,"area":"inference"},{"id":"2503.08461","title":"FastCache: Optimizing Multimodal LLM Serving through Lightweight KV-Cache Compression Framework","created":"2025-03-11","cited_by_count":3,"area":"inference"},{"id":"2504.03651","title":"Echo: Efficient Co-Scheduling of Hybrid Online-Offline Tasks for Large Language Model Serving","created":"2025-03-01","cited_by_count":3,"area":"inference"},{"id":"2505.08944","title":"Toward Cost-Efficient Serving of Mixture-of-Experts with Asynchrony","created":"2025-05-13","cited_by_count":3,"area":"moe"},{"id":"2509.00195","title":"FastTTS: Accelerating Test-Time Scaling for Edge LLM Reasoning","created":"2025-08-29","cited_by_count":3,"area":"lr"},{"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":"2510.14686","title":"xLLM Technical Report","created":"2025-10-16","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":"2503.17707","title":"PipeBoost: Resilient Pipelined Architecture for Fast Serverless LLM Scaling","created":"2025-03-22","cited_by_count":2,"area":"inference"},{"id":"2504.15302","title":"RAGDoll: Efficient Offloading-based Online RAG System on a Single GPU","created":"2025-04-17","cited_by_count":2,"area":"rag"},{"id":"2505.07680","title":"SpecRouter: Adaptive Routing for Multi-Level Speculative Decoding in Large Language Models","created":"2025-05-12","cited_by_count":2,"area":"inference"},{"id":"2508.16646","title":"Equinox: Holistic Fair Scheduling in Serving Large Language Models","created":"2025-08-19","cited_by_count":2,"area":"inference"},{"id":"2604.06370","title":"ForkKV: Scaling Multi-LoRA Agent Serving via Copy-on-Write Disaggregated KV Cache","created":"2026-04-07","cited_by_count":2,"area":"agents"},{"id":"2604.06664","title":"Foundry: Template-Based CUDA Graph Context Materialization for Fast LLM Serving Cold Start","created":"2026-04-08","cited_by_count":2,"area":"inference"},{"id":"2606.09061","title":"Fairness-Aware and Latency-Controllable Scheduling for Chunked-Prefill LLM Serving","created":"2026-06-08","cited_by_count":2,"area":"inference"},{"id":"2606.16135","title":"SwiftCache: Efficient LLM Serving for Multi-turn Conversations with Heterogeneous KV Cache Sharing","created":"2026-06-15","cited_by_count":2,"area":"inference"},{"id":"2606.21842","title":"Agent-Assisted Side-Channel Attacks on Non-Prefix KV Cache in RAG","created":"2026-06-20","cited_by_count":2,"area":"rag"},{"id":"2607.08565","title":"SMetric: Rethink LLM Scheduling for Serving Agents with Balanced Session-centric Scheduling","created":"2026-07-09","cited_by_count":2,"area":"agents"},{"id":"2607.28150","title":"SmartGen: Seamless Disaggregated LLM Inference with Selective KV Cache Transfer","created":"2026-07-30","cited_by_count":2,"area":"inference"},{"id":"2609.07883","title":"Deadline-Aware Adaptive Prefill Chunking for Efficient Large Language Model Serving","created":"2026-09-07","cited_by_count":2,"area":"inference"},{"id":"2504.20101","title":"PlanetServe: A Decentralized, Scalable, and Privacy-Preserving Overlay for Democratizing Large Language Model Serving","created":"2025-04-27","cited_by_count":1,"area":"inference"},{"id":"2506.14851","title":"Efficient Serving of LLM Applications with Probabilistic Demand Modeling","created":"2025-06-17","cited_by_count":1,"area":null},{"id":"2507.18006","title":"Unlock the Potential of Fine-grained LLM Serving via Dynamic Module Scaling","created":"2025-07-24","cited_by_count":1,"area":"inference"},{"id":"2511.06247","title":"Optimizing Long-context LLM Serving via Fine-grained Sequence Parallelism","created":"2025-11-09","cited_by_count":1,"area":"inference"},{"id":"2511.12056","title":"PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling","created":"2025-11-15","cited_by_count":1,"area":"diffusion"},{"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":"2603.17456","title":"Stage-Aware Communication Scheduling for Disaggregated LLM Serving","created":"2026-03-18","cited_by_count":1,"area":"inference"},{"id":"2604.07144","title":"Autopoiesis: A Self-Evolving System Paradigm for LLM Serving Under Runtime Dynamics","created":"2026-04-08","cited_by_count":1,"area":"inference"},{"id":"2604.15186","title":"Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines","created":"2026-04-16","cited_by_count":1,"area":"agents"},{"id":"2607.18002","title":"ExpertPlex: A High-Goodput Disaggregated Serving System for MoE LLMs with Adaptive Persistent Kernels","created":"2026-07-20","cited_by_count":1,"area":"moe"},{"id":"2502.14617","title":"SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling","created":"2025-02-20","cited_by_count":0,"area":"inference"},{"id":"2506.03296","title":"APEX: Asynchronous Parallel CPU-GPU Execution for Online LLM Inference on Constrained GPUs","created":"2025-06-03","cited_by_count":0,"area":"inference"},{"id":"2511.00101","title":"Loquetier: A Virtualized Multi-LoRA Framework for Unified LLM Fine-tuning and Serving","created":"2025-10-30","cited_by_count":0,"area":null},{"id":"2602.14188","title":"GPT-5 vs Other LLMs in Long Short-Context Performance","created":"2026-02-15","cited_by_count":0,"area":null},{"id":"2603.26498","title":"TCM-Serve: Modality-aware Scheduling for Multimodal Large Language Model Inference","created":"2026-03-27","cited_by_count":0,"area":"mllm"},{"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":"2604.08123","title":"LegoDiffusion: Micro-Serving Text-to-Image Diffusion Workflows","created":"2026-04-09","cited_by_count":0,"area":"diffusion"},{"id":"2604.26103","title":"AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving","created":"2026-04-28","cited_by_count":0,"area":"inference"},{"id":"2605.06046","title":"Requests of a Feather Must Flock Together: Batch Size vs. Prefix Homogeneity in LLM Inference","created":"2026-05-07","cited_by_count":0,"area":"inference"},{"id":"2605.21100","title":"NanoCP: Request-Level Dynamic Context Parallelism for Data-Expert Parallel Decoding","created":"2026-05-20","cited_by_count":0,"area":"moe"},{"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"}],"next_cursor":"100"}