{"total":312,"rows":[{"id":"2309.06180","title":"Efficient Memory Management for Large Language Model Serving with PagedAttention","created":"2023-09-12","cited_by_count":5944,"area":"inference"},{"id":"2302.01318","title":"Accelerating Large Language Model Decoding with Speculative Sampling","created":"2023-02-02","cited_by_count":1006,"area":"inference"},{"id":"2401.09670","title":"DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving","created":"2024-01-18","cited_by_count":617,"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":"2406.16858","title":"EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees","created":"2024-06-24","cited_by_count":370,"area":"inference"},{"id":"2503.01840","title":"EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test","created":"2025-03-03","cited_by_count":331,"area":"inference"},{"id":"2404.16710","title":"LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding","created":"2024-04-25","cited_by_count":307,"area":"inference"},{"id":"2402.02057","title":"Break the Sequential Dependency of LLM Inference Using Lookahead Decoding","created":"2024-02-03","cited_by_count":298,"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":"2407.00079","title":"Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving","created":"2024-06-24","cited_by_count":196,"area":"inference"},{"id":"2308.04623","title":"Accelerating LLM Inference with Staged Speculative Decoding","created":"2023-08-08","cited_by_count":151,"area":"inference"},{"id":"2311.08252","title":"REST: Retrieval-Based Speculative Decoding","created":"2023-11-14","cited_by_count":150,"area":"inference"},{"id":"2405.12532","title":"PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference","created":"2024-05-21","cited_by_count":147,"area":"inference"},{"id":"2506.00413","title":"Accelerating Diffusion LLMs via Adaptive Parallel Decoding","created":"2025-05-31","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":"2402.18096","title":"No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization","created":"2024-02-28","cited_by_count":101,"area":"inference"},{"id":"2405.14256","title":"ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification","created":"2024-05-23","cited_by_count":93,"area":"inference"},{"id":"2408.11049","title":"MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding","created":"2024-08-20","cited_by_count":91,"area":"inference"},{"id":"2408.11850","title":"PEARL: Parallel Speculative Decoding with Adaptive Draft Length","created":"2024-08-13","cited_by_count":85,"area":"inference"},{"id":"2405.19715","title":"SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths","created":"2024-05-30","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":"2408.15766","title":"Learning Harmonized Representations for Speculative Sampling","created":"2024-08-28","cited_by_count":72,"area":"inference"},{"id":"2410.06916","title":"SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration","created":"2024-10-09","cited_by_count":72,"area":"inference"},{"id":"2509.26488","title":"dParallel: Learnable Parallel Decoding for dLLMs","created":"2025-09-30","cited_by_count":65,"area":"inference"},{"id":"2311.13581","title":"PaSS: Parallel Speculative Sampling","created":"2023-11-22","cited_by_count":49,"area":"inference"},{"id":"2402.13516","title":"ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models","created":"2024-02-21","cited_by_count":45,"area":"inference"},{"id":"2510.04767","title":"ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs","created":"2025-10-06","cited_by_count":43,"area":"inference"},{"id":"2411.10666","title":"SAM Decoding: Speculative Decoding via Suffix Automaton","created":"2024-11-16","cited_by_count":39,"area":"inference"},{"id":"2601.07568","title":"d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation","created":"2026-01-12","cited_by_count":37,"area":"inference"},{"id":"2605.29707","title":"Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding","created":"2026-05-28","cited_by_count":34,"area":"inference"},{"id":"2510.14973","title":"Attention Is All You Need for KV Cache in Diffusion LLMs","created":"2025-10-16","cited_by_count":32,"area":"inference"},{"id":"2405.04304","title":"Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models","created":"2024-05-07","cited_by_count":31,"area":"inference"},{"id":"2509.26432","title":"AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size","created":"2025-09-30","cited_by_count":31,"area":"inference"},{"id":"2504.18583","title":"PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model Adaptation","created":"2025-04-23","cited_by_count":29,"area":"inference"},{"id":"2604.12989","title":"Accelerating Speculative Decoding with Block Diffusion Draft Trees","created":"2026-04-14","cited_by_count":29,"area":"inference"},{"id":"2509.25188","title":"Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding","created":"2025-09-29","cited_by_count":27,"area":"inference"},{"id":"2412.03131","title":"DiffKV: Differentiated Memory Management for Large Language Models with Parallel KV Compaction","created":"2024-12-04","cited_by_count":26,"area":"inference"},{"id":"2402.13720","title":"Ouroboros: Generating Longer Drafts Phrase by Phrase for Faster Speculative Decoding","created":"2024-02-21","cited_by_count":25,"area":"inference"},{"id":"2509.23094","title":"d$^2$Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching","created":"2025-09-27","cited_by_count":25,"area":"inference"},{"id":"2601.19278","title":"DART: Diffusion-Inspired Speculative Decoding for Fast LLM Inference","created":"2026-01-27","cited_by_count":24,"area":"inference"},{"id":"2404.08698","title":"Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding","created":"2024-04-10","cited_by_count":23,"area":"inference"},{"id":"2504.08850","title":"SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting","created":"2025-04-11","cited_by_count":23,"area":"inference"},{"id":"2508.01989","title":"Prefill-Decode Aggregation or Disaggregation? Unifying Both for Goodput-Optimized LLM Serving","created":"2025-08-04","cited_by_count":23,"area":"inference"},{"id":"2402.06082","title":"SubGen: Token Generation in Sublinear Time and Memory","created":"2024-02-08","cited_by_count":21,"area":"inference"},{"id":"2509.18085","title":"Structuring The Future: Diffusion LLM Speculative Decoding via Calibrated Draft Graphs","created":"2025-09-22","cited_by_count":21,"area":"inference"},{"id":"2510.07081","title":"Accelerating Diffusion LLM Inference via Local Determinism Propagation","created":"2025-10-08","cited_by_count":21,"area":"inference"},{"id":"2412.12639","title":"Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree","created":"2024-12-17","cited_by_count":20,"area":"inference"},{"id":"2502.05202","title":"Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous Vocabularies","created":"2025-01-31","cited_by_count":20,"area":"inference"},{"id":"2502.14856","title":"FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling","created":"2025-02-20","cited_by_count":20,"area":"inference"},{"id":"2502.15470","title":"PAPI: Exploiting Dynamic Parallelism in Large Language Model Decoding with a Processing-In-Memory-Enabled Computing System","created":"2025-02-21","cited_by_count":20,"area":"inference"},{"id":"2310.18813","title":"The Synergy of Speculative Decoding and Batching in Serving Large Language Models","created":"2023-10-28","cited_by_count":19,"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":"2410.03960","title":"SwiftKV: Fast Prefill-Optimized Inference with Knowledge-Preserving Model Transformation","created":"2024-10-04","cited_by_count":19,"area":"inference"},{"id":"2502.18779","title":"Towards Optimal Multi-draft Speculative Decoding","created":"2025-02-26","cited_by_count":19,"area":"inference"},{"id":"2510.00294","title":"Free Draft-and-Verification: Toward Lossless Parallel Decoding for Diffusion Large Language Models","created":"2025-09-30","cited_by_count":19,"area":"inference"},{"id":"2603.04445","title":"Dynamic Model Routing and Cascading for Efficient LLM Inference: A Survey","created":"2026-02-23","cited_by_count":19,"area":"inference"},{"id":"2410.11305","title":"QSpec: Speculative Decoding with Complementary Quantization Schemes","created":"2024-10-15","cited_by_count":18,"area":"inference"},{"id":"2412.18910","title":"AdaEAGLE: Optimizing Speculative Decoding via Explicit Modeling of Adaptive Draft Structures","created":"2024-12-25","cited_by_count":18,"area":"inference"},{"id":"2505.10938","title":"Accurate KV Cache Quantization with Outlier Tokens Tracing","created":"2025-05-16","cited_by_count":18,"area":"inference"},{"id":"2602.23881","title":"LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding","created":"2026-02-27","cited_by_count":18,"area":"inference"},{"id":"2410.03804","title":"Mixture of Attentions For Speculative Decoding","created":"2024-10-04","cited_by_count":17,"area":"inference"},{"id":"2605.18810","title":"D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting","created":"2026-05-12","cited_by_count":17,"area":"inference"},{"id":"2405.18628","title":"Hardware-Aware Parallel Prompt Decoding for Memory-Efficient Acceleration of LLM Inference","created":"2024-05-28","cited_by_count":16,"area":"inference"},{"id":"2502.11018","title":"GRIFFIN: Effective Token Alignment for Faster Speculative Decoding","created":"2025-02-16","cited_by_count":16,"area":"inference"},{"id":"2603.03251","title":"Speculative Speculative Decoding","created":"2026-03-03","cited_by_count":15,"area":"inference"},{"id":"2606.18394","title":"JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting","created":"2026-06-16","cited_by_count":15,"area":"inference"},{"id":"2410.17375","title":"AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration","created":"2024-10-22","cited_by_count":14,"area":"inference"},{"id":"2411.03786","title":"The N-Grammys: Accelerating Autoregressive Inference with Learning-Free Batched Speculation","created":"2024-11-06","cited_by_count":14,"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":"2507.01449","title":"LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token Speculation","created":"2025-07-02","cited_by_count":14,"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":"2603.12996","title":"DAPD: Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs","created":"2026-03-13","cited_by_count":14,"area":"inference"},{"id":"2605.07721","title":"Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models","created":"2026-05-08","cited_by_count":14,"area":"inference"},{"id":"2506.07851","title":"Learning to Focus: Causal Attention Distillation via Gradient-Guided Token Pruning","created":"2025-06-09","cited_by_count":13,"area":"inference"},{"id":"2510.06133","title":"CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit","created":"2025-10-07","cited_by_count":13,"area":"inference"},{"id":"2601.07353","title":"TALON: Confidence-Aware Speculative Decoding with Adaptive Token Trees","created":"2026-01-12","cited_by_count":13,"area":"inference"},{"id":"2602.06953","title":"DAWN: Dependency-Aware Fast Inference for Diffusion LLMs","created":"2026-02-06","cited_by_count":13,"area":"inference"},{"id":"2502.20704","title":"Fuzzy Speculative Decoding for a Tunable Accuracy-Runtime Tradeoff","created":"2025-02-28","cited_by_count":12,"area":"inference"},{"id":"2604.09603","title":"ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios","created":"2026-03-10","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":"2407.09722","title":"Optimized Multi-Token Joint Decoding with Auxiliary Model for LLM Inference","created":"2024-07-12","cited_by_count":11,"area":"inference"},{"id":"2410.08391","title":"KV Prediction for Improved Time to First Token","created":"2024-10-10","cited_by_count":11,"area":"inference"},{"id":"2505.21594","title":"Fast and Cost-effective Speculative Edge-Cloud Decoding with Early Exits","created":"2025-05-27","cited_by_count":11,"area":"inference"},{"id":"2506.22694","title":"VOCABTRIM: Vocabulary Pruning for Efficient Speculative Decoding in LLMs","created":"2025-06-28","cited_by_count":11,"area":"inference"},{"id":"2605.29343","title":"Draft-OPD: On-Policy Distillation for Speculative Draft Models","created":"2026-05-28","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":"2412.20322","title":"GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions","created":"2024-12-29","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":"2502.03589","title":"HACK: Homomorphic Acceleration via Compression of the Key-Value Cache for Disaggregated LLM Inference","created":"2025-02-05","cited_by_count":10,"area":"inference"},{"id":"2509.22134","title":"Bridging Draft Policy Misalignment: Group Tree Optimization for Speculative Decoding","created":"2025-09-26","cited_by_count":10,"area":"inference"},{"id":"2511.18643","title":"Kitty: Accurate and Efficient 2-bit KV Cache Quantization with Dynamic Channel-wise Precision Boost","created":"2025-11-23","cited_by_count":10,"area":"inference"},{"id":"2511.22972","title":"Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match","created":"2025-11-28","cited_by_count":10,"area":"inference"},{"id":"2604.09557","title":"SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding","created":"2026-02-10","cited_by_count":10,"area":"inference"},{"id":"2405.14105","title":"Distributed Speculative Inference (DSI): Speculation Parallelism for Provably Faster Lossless Language Model Inference","created":"2024-05-23","cited_by_count":9,"area":"inference"},{"id":"2502.13652","title":"C2T: A Classifier-Based Tree Construction Method in Speculative Decoding","created":"2025-02-19","cited_by_count":9,"area":"inference"},{"id":"2502.16880","title":"CORAL: Learning Consistent Representations across Multi-step Training with Lighter Speculative Drafter","created":"2025-02-24","cited_by_count":9,"area":"inference"},{"id":"2503.10135","title":"Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding","created":"2025-03-13","cited_by_count":9,"area":"inference"},{"id":"2503.13565","title":"ML-SpecQD: Multi-Level Speculative Decoding with Quantized Drafts","created":"2025-03-17","cited_by_count":9,"area":"inference"},{"id":"2506.11309","title":"SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding","created":"2025-06-12","cited_by_count":9,"area":"inference"}],"next_cursor":"100"}