{"total":39,"rows":[{"id":"2502.10248","title":"Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model","created":"2025-02-14","cited_by_count":168,"area":null},{"id":"2412.03594","title":"BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching","created":"2024-11-29","cited_by_count":32,"area":null},{"id":"2411.01783","title":"Context Parallelism for Scalable Million-Token Inference","created":"2024-11-04","cited_by_count":26,"area":null},{"id":"2502.07776","title":"Auditing Prompt Caching in Language Model APIs","created":"2025-02-11","cited_by_count":20,"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":"2506.17188","title":"Towards AI Search Paradigm","created":"2025-06-20","cited_by_count":19,"area":null},{"id":"2604.26256","title":"DORA: A Scalable Asynchronous Reinforcement Learning System for Language Model Training","created":"2026-04-29","cited_by_count":14,"area":null},{"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":"2409.12490","title":"CritiPrefill: A Segment-wise Criticality-based Approach for Prefilling Acceleration in LLMs","created":"2024-09-19","cited_by_count":7,"area":null},{"id":"2503.02154","title":"AugFL: Augmenting Federated Learning with Pretrained Models","created":"2025-03-04","cited_by_count":6,"area":null},{"id":"2508.19559","title":"Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference","created":"2025-08-27","cited_by_count":5,"area":null},{"id":"2601.00397","title":"Revati: Transparent GPU-Free Time-Warp Emulation for LLM Serving","created":"2026-01-01","cited_by_count":5,"area":null},{"id":"2606.07684","title":"Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching","created":"2026-06-05","cited_by_count":5,"area":null},{"id":"2504.16786","title":"MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores","created":"2025-04-23","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":"2412.11814","title":"EventSum: A Large-Scale Event-Centric Summarization Dataset for Chinese Multi-News Documents","created":"2024-12-16","cited_by_count":3,"area":null},{"id":"2502.06846","title":"Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure","created":"2025-02-07","cited_by_count":2,"area":null},{"id":"2502.15763","title":"Hybrid Offline-online Scheduling Method for Large Language Model Inference Optimization","created":"2025-02-14","cited_by_count":2,"area":null},{"id":"2505.11820","title":"Chain-of-Model Learning for Language Model","created":"2025-05-17","cited_by_count":2,"area":null},{"id":"2606.00288","title":"Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture","created":"2026-05-29","cited_by_count":2,"area":null},{"id":"2606.28565","title":"KernelSight-LM: A Kernel-Level LLM Inference Simulator","created":"2026-06-26","cited_by_count":2,"area":null},{"id":"2410.04454","title":"Inner-Probe: Discovering Copyright-related Data Generation in LLM Architecture","created":"2024-10-06","cited_by_count":1,"area":null},{"id":"2501.05408","title":"Tempo: Compiled Dynamic Deep Learning with Symbolic Dependence Graphs","created":"2025-01-09","cited_by_count":1,"area":null},{"id":"2502.15712","title":"GPUs, CPUs, and... NICs: Rethinking the Network's Role in Serving Complex AI Pipelines","created":"2025-01-22","cited_by_count":1,"area":null},{"id":"2506.14851","title":"Efficient Serving of LLM Applications with Probabilistic Demand Modeling","created":"2025-06-17","cited_by_count":1,"area":null},{"id":"2508.03760","title":"FlashCommunication V2: Bit Splitting and Spike Reserving for Any Bit Communication","created":"2025-08-04","cited_by_count":1,"area":null},{"id":"2604.08075","title":"Dual-Pool Token-Budget Routing for Cost-Efficient and Reliable LLM Serving","created":"2026-04-09","cited_by_count":1,"area":null},{"id":"2609.25405","title":"Efficient Iterative Retrieval with Heterogeneous Batching","created":"2026-09-21","cited_by_count":1,"area":null},{"id":"2610.05305","title":"Characterizing Parallelism Strategies in LLM Inference: Fundamental Compute-Communication Trade-offs","created":"2026-10-04","cited_by_count":1,"area":null},{"id":"2605.07325","title":"CSR: Infinite-Horizon Real-Time Policies with Massive Cached State Representations","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2605.14217","title":"PreFT: Prefill-only finetuning for efficient inference","created":"2026-05-14","cited_by_count":0,"area":null},{"id":"2606.20295","title":"Token-Operations-Oriented Inference Optimization Techniques for Large Models","created":"2026-06-18","cited_by_count":0,"area":null},{"id":"2606.21238","title":"Recency/Frequency Adaptive KV Caching for Large Language Model Serving","created":"2026-06-19","cited_by_count":0,"area":null},{"id":"2607.02584","title":"RotateAttention: RoPE-Aware Rotation and Range Rectification for INT4 Quantized Attention in Video Generation","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2609.05565","title":"Toward Sustainable Distributed LLM Inference: A Systems Synthesis and Research Agenda for an Energy-, Carbon-, and Cache-Aware llm-d Control Plane","created":"2026-09-03","cited_by_count":0,"area":null},{"id":"2609.09229","title":"Compute-Bounded Security Assurance - Coverage, Verification, and Response under Resource Constraints","created":"2026-09-07","cited_by_count":0,"area":null},{"id":"2609.26333","title":"Disaggregated Quantization: Specializing LLM Prefill and Decode","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.26828","title":"Bridging LLM Serving and CXL-SSDs with Chunk-Aware KV Cache Management","created":"2026-09-20","cited_by_count":0,"area":null},{"id":"2610.12133","title":"Rehearse Everything, Remember Nothing: Attic-KV Rehearses What Will Be Read","created":"2026-10-08","cited_by_count":0,"area":null}],"next_cursor":null}