{"total":107,"rows":[{"id":"2306.14048","title":"H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models","created":"2023-06-24","cited_by_count":832,"area":"inference"},{"id":"2310.01801","title":"Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs","created":"2023-10-03","cited_by_count":474,"area":"inference"},{"id":"2410.10819","title":"DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads","created":"2024-10-14","cited_by_count":288,"area":"inference"},{"id":"2406.19707","title":"InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management","created":"2024-06-28","cited_by_count":245,"area":"inference"},{"id":"2404.14294","title":"A Survey on Efficient Inference for Large Language Models","created":"2024-04-22","cited_by_count":205,"area":"inference"},{"id":"2310.07240","title":"CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving","created":"2023-10-11","cited_by_count":203,"area":"inference"},{"id":"2307.06945","title":"In-context Autoencoder for Context Compression in a Large Language Model","created":"2023-07-13","cited_by_count":199,"area":"inference"},{"id":"2107.00910","title":"Learned Token Pruning for Transformers","created":"2021-07-02","cited_by_count":139,"area":"inference"},{"id":"2405.12981","title":"Reducing Transformer Key-Value Cache Size with Cross-Layer Attention","created":"2024-05-21","cited_by_count":131,"area":"inference"},{"id":"2403.09054","title":"Keyformer: KV Cache Reduction through Key Tokens Selection for Efficient Generative Inference","created":"2024-03-14","cited_by_count":126,"area":"inference"},{"id":"2312.04985","title":"SparQ Attention: Bandwidth-Efficient LLM Inference","created":"2023-12-08","cited_by_count":119,"area":"inference"},{"id":"2404.09526","title":"LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism","created":"2024-04-15","cited_by_count":112,"area":"inference"},{"id":"2312.15234","title":"Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems","created":"2023-12-23","cited_by_count":102,"area":"inference"},{"id":"2407.15891","title":"RazorAttention: Efficient KV Cache Compression Through Retrieval Heads","created":"2024-07-22","cited_by_count":100,"area":"inference"},{"id":"2405.04437","title":"vAttention: Dynamic Memory Management for Serving LLMs without PagedAttention","created":"2024-05-07","cited_by_count":98,"area":"inference"},{"id":"2505.23416","title":"KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction","created":"2025-05-29","cited_by_count":95,"area":"inference"},{"id":"2506.06266","title":"Cartridges: Lightweight and general-purpose long context representations via self-study","created":"2025-06-06","cited_by_count":86,"area":"inference"},{"id":"2402.09398","title":"Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference","created":"2024-02-14","cited_by_count":75,"area":"inference"},{"id":"2401.02669","title":"Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache","created":"2024-01-05","cited_by_count":73,"area":"inference"},{"id":"2410.12388","title":"Prompt Compression for Large Language Models: A Survey","created":"2024-10-16","cited_by_count":67,"area":"inference"},{"id":"2403.04643","title":"QAQ: Quality Adaptive Quantization for LLM KV Cache","created":"2024-03-07","cited_by_count":66,"area":"inference"},{"id":"2401.03868","title":"FlightLLM: Efficient Large Language Model Inference with a Complete Mapping Flow on FPGAs","created":"2024-01-08","cited_by_count":64,"area":"inference"},{"id":"2305.17328","title":"Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers","created":"2023-05-27","cited_by_count":62,"area":"inference"},{"id":"2412.10319","title":"SCBench: A KV Cache-Centric Analysis of Long-Context Methods","created":"2024-12-13","cited_by_count":60,"area":"inference"},{"id":"2503.12491","title":"CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences","created":"2025-03-16","cited_by_count":58,"area":"inference"},{"id":"2306.07050","title":"Revisiting Token Pruning for Object Detection and Instance Segmentation","created":"2023-06-12","cited_by_count":50,"area":"inference"},{"id":"2408.03675","title":"NACL: A General and Effective KV Cache Eviction Framework for LLMs at Inference Time","created":"2024-08-07","cited_by_count":43,"area":"inference"},{"id":"2105.11618","title":"TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference","created":"2021-05-25","cited_by_count":40,"area":"inference"},{"id":"2410.04466","title":"Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective","created":"2024-10-06","cited_by_count":38,"area":"inference"},{"id":"2402.06262","title":"On the Efficacy of Eviction Policy for Key-Value Constrained Generative Language Model Inference","created":"2024-02-09","cited_by_count":32,"area":"inference"},{"id":"2406.02657","title":"Block Transformer: Global-to-Local Language Modeling for Fast Inference","created":"2024-06-04","cited_by_count":32,"area":"inference"},{"id":"2411.17116","title":"Star Attention: Efficient LLM Inference over Long Sequences","created":"2024-11-26","cited_by_count":25,"area":"inference"},{"id":"2406.05317","title":"LoCoCo: Dropping In Convolutions for Long Context Compression","created":"2024-06-08","cited_by_count":19,"area":"inference"},{"id":"2601.17668","title":"Fast KVzip: Efficient and Accurate LLM Inference with Gated KV Eviction","created":"2026-01-25","cited_by_count":16,"area":"inference"},{"id":"2410.12876","title":"In-context KV-Cache Eviction for LLMs via Attention-Gate","created":"2024-10-15","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":"2509.18362","title":"FastMTP: Accelerating LLM Inference with Enhanced Multi-Token Prediction","created":"2025-09-16","cited_by_count":13,"area":"inference"},{"id":"2503.07518","title":"TokenButler: Token Importance is Predictable","created":"2025-03-10","cited_by_count":12,"area":"inference"},{"id":"2404.15778","title":"BASS: Batched Attention-optimized Speculative Sampling","created":"2024-04-24","cited_by_count":11,"area":"inference"},{"id":"2411.05787","title":"RefreshKV: Updating Small KV Cache During Long-form Generation","created":"2024-11-08","cited_by_count":11,"area":"inference"},{"id":"2510.24273","title":"SALS: Sparse Attention in Latent Space for KV cache Compression","created":"2025-10-28","cited_by_count":11,"area":"inference"},{"id":"2604.15039","title":"Prefill-as-a-Service: KVCache of Next-Generation Models Could Go Cross-Datacenter","created":"2026-04-16","cited_by_count":11,"area":"inference"},{"id":"2407.03157","title":"Let the Code LLM Edit Itself When You Edit the Code","created":"2024-07-03","cited_by_count":10,"area":"inference"},{"id":"2502.00085","title":"Efficient Beam Search for Large Language Models Using Trie-Based Decoding","created":"2025-01-31","cited_by_count":10,"area":"inference"},{"id":"2509.08315","title":"EvolKV: Evolutionary KV Cache Compression for LLM Inference","created":"2025-09-10","cited_by_count":10,"area":"inference"},{"id":"2410.01485","title":"A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts","created":"2024-10-02","cited_by_count":9,"area":"inference"},{"id":"2410.23079","title":"BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM Inference","created":"2024-10-30","cited_by_count":9,"area":"inference"},{"id":"2310.08152","title":"Context Compression for Auto-regressive Transformers with Sentinel Tokens","created":"2023-10-12","cited_by_count":8,"area":"inference"},{"id":"2406.06110","title":"Recurrent Context Compression: Efficiently Expanding the Context Window of LLM","created":"2024-06-10","cited_by_count":8,"area":"inference"},{"id":"2407.20485","title":"A2SF: Accumulative Attention Scoring with Forgetting Factor for Token Pruning in Transformer Decoder","created":"2024-07-30","cited_by_count":8,"area":"inference"},{"id":"2403.08845","title":"Bifurcated Attention: Accelerating Massively Parallel Decoding with Shared Prefixes in LLMs","created":"2024-03-13","cited_by_count":7,"area":"inference"},{"id":"2405.17951","title":"Efficient Time Series Processing for Transformers and State-Space Models through Token Merging","created":"2024-05-28","cited_by_count":7,"area":"inference"},{"id":"2406.01283","title":"Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification","created":"2024-06-03","cited_by_count":7,"area":"inference"},{"id":"2503.24358","title":"SQuat: Subspace-orthogonal KV Cache Quantization","created":"2025-03-31","cited_by_count":7,"area":"inference"},{"id":"2506.18226","title":"Make It Efficient: Dynamic Sparse Attention for Autoregressive Image Generation","created":"2025-06-23","cited_by_count":7,"area":"inference"},{"id":"2306.14393","title":"Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference","created":"2023-06-26","cited_by_count":6,"area":"inference"},{"id":"2412.16187","title":"HashEvict: A Pre-Attention KV Cache Eviction Strategy using Locality-Sensitive Hashing","created":"2024-12-13","cited_by_count":6,"area":"inference"},{"id":"2504.14992","title":"Efficient Pretraining Length Scaling","created":"2025-04-21","cited_by_count":6,"area":"inference"},{"id":"2604.20920","title":"Simplified Sparse Attention via Gist Tokens","created":"2026-04-22","cited_by_count":6,"area":"inference"},{"id":"2303.03800","title":"Lformer: Text-to-Image Generation with L-shape Block Parallel Decoding","created":"2023-03-07","cited_by_count":5,"area":"inference"},{"id":"2502.15955","title":"Compression Barriers for Autoregressive Transformers","created":"2025-02-21","cited_by_count":5,"area":"inference"},{"id":"2509.16495","title":"Shift Parallelism: Low-Latency, High-Throughput LLM Inference for Dynamic Workloads","created":"2025-09-20","cited_by_count":5,"area":"inference"},{"id":"2511.11907","title":"KVSwap: Disk-aware KV Cache Offloading for Long-Context On-device Inference","created":"2025-11-14","cited_by_count":5,"area":"inference"},{"id":"2406.07528","title":"QuickLLaMA: Query-aware Inference Acceleration for Large Language Models","created":"2024-06-11","cited_by_count":4,"area":"inference"},{"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":"2510.16807","title":"Improving Model Representation and Reducing KV Cache via Skip Connections with First Value Heads","created":"2025-10-19","cited_by_count":4,"area":"inference"},{"id":"2602.07397","title":"Scout Before You Attend: Sketch-and-Walk Sparse Attention for Efficient LLM Inference","created":"2026-02-07","cited_by_count":4,"area":"inference"},{"id":"2604.04987","title":"Cactus: Accelerating Auto-Regressive Decoding with Constrained Acceptance Speculative Sampling","created":"2026-04-05","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":"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":"2410.09324","title":"Token Pruning using a Lightweight Background Aware Vision Transformer","created":"2024-10-12","cited_by_count":3,"area":"inference"},{"id":"2510.20787","title":"Alleviating Forgetfulness of Linear Attention by Hybrid Sparse Attention and Contextualized Learnable Token Eviction","created":"2025-10-23","cited_by_count":3,"area":"inference"},{"id":"2401.05391","title":"Efficient LLM inference solution on Intel GPU","created":"2023-12-19","cited_by_count":2,"area":"inference"},{"id":"2410.21340","title":"Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments","created":"2024-10-28","cited_by_count":2,"area":"inference"},{"id":"2410.23537","title":"ALISE: Accelerating Large Language Model Serving with Speculative Scheduling","created":"2024-10-31","cited_by_count":2,"area":"inference"},{"id":"2511.03092","title":"SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators","created":"2025-11-05","cited_by_count":2,"area":"inference"},{"id":"2601.11471","title":"Low-Rank Key Value Attention","created":"2026-01-16","cited_by_count":2,"area":"inference"},{"id":"2603.04427","title":"Thin Keys, Full Values: Reducing KV Cache via Low-Dimensional Attention Selection","created":"2026-02-16","cited_by_count":2,"area":"inference"},{"id":"2605.13784","title":"Attention Once Is All You Need: Efficient Streaming Inference with Stateful Transformers","created":"2026-05-13","cited_by_count":2,"area":"inference"},{"id":"2502.13251","title":"Neural Attention Search","created":"2025-02-18","cited_by_count":1,"area":"inference"},{"id":"2605.01910","title":"Stochastic Sparse Attention for Memory-Bound Inference","created":"2026-05-03","cited_by_count":1,"area":"inference"},{"id":"2605.06763","title":"Sparse Attention as a Range Searching Problem: Towards an Inference-Efficient Index for KV Cache","created":"2026-05-07","cited_by_count":1,"area":"inference"},{"id":"2607.27600","title":"Back from the Future: Key-Value Cache Management by Counter-Causal Surprise","created":"2026-07-30","cited_by_count":1,"area":"inference"},{"id":"2609.02737","title":"Language Models Can Control Their Own Attention","created":"2026-09-02","cited_by_count":1,"area":"inference"},{"id":"2609.20888","title":"Elastic Threshold Attention: Learned Contextual Sparsity for Long-Context Decoding","created":"2026-09-16","cited_by_count":1,"area":"inference"},{"id":"2609.26368","title":"HySparse2: Hybrid Sparse Attention with Two-Level KV Sharing","created":"2026-09-22","cited_by_count":1,"area":"inference"},{"id":"2505.24544","title":"Cross-Attention Speculative Decoding","created":"2025-05-30","cited_by_count":0,"area":"inference"},{"id":"2507.19409","title":"Modality Agnostic Efficient Long Range Encoder","created":"2025-07-25","cited_by_count":0,"area":"inference"},{"id":"2508.09194","title":"Meta-Learning for Speeding Up Large Model Inference in Decentralized Environments","created":"2025-08-08","cited_by_count":0,"area":"inference"},{"id":"2511.04686","title":"Stateful KV Cache Management for LLMs: Balancing Space, Time, Accuracy, and Positional Fidelity","created":"2025-10-23","cited_by_count":0,"area":"inference"},{"id":"2511.19718","title":"Rethinking Vision Transformer Depth via Structural Reparameterization","created":"2025-11-24","cited_by_count":0,"area":"inference"},{"id":"2512.20687","title":"PHOTON: Hierarchical Autoregressive Modeling for Lightspeed and Memory-Efficient Language Generation","created":"2025-12-22","cited_by_count":0,"area":"inference"},{"id":"2605.10875","title":"Compute Where it Counts: Self Optimizing Language Models","created":"2026-05-11","cited_by_count":0,"area":"inference"},{"id":"2605.12471","title":"KV-Fold: One-Step KV-Cache Recurrence for Long-Context Inference","created":"2026-05-12","cited_by_count":0,"area":"inference"},{"id":"2606.02680","title":"Post-Boundary Bridge: Must Local Attention Go Global Between Global Layers?","created":"2026-06-01","cited_by_count":0,"area":"inference"},{"id":"2606.18056","title":"ConSA: Controllable Sparsity in Hybrid Attention via Learnable Allocation","created":"2026-06-16","cited_by_count":0,"area":"inference"},{"id":"2606.21848","title":"Keyless Attention: Value-Space Routing and Value-Only Caching for Efficient Transformers","created":"2026-06-20","cited_by_count":0,"area":"inference"},{"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":"2607.02640","title":"Metronome: Bound the Cache, Keep the Beat for Real-Time Interaction Model Serving","created":"2026-07-02","cited_by_count":0,"area":"inference"},{"id":"2607.19368","title":"Spectral-LSH: Sub-Quadratic Prompt Compression via Krylov-Projected Locality-Sensitive Hashing","created":"2026-06-12","cited_by_count":0,"area":"inference"}],"next_cursor":"100"}