{"list":"other","total":94,"rows":[{"id":"2110.14168","title":"Training Verifiers to Solve Math Word Problems","created":"2021-10-27","cited_by_count":10109},{"id":"2505.09388","title":"Qwen3 Technical Report","created":"2025-05-14","cited_by_count":8820},{"id":"2306.05685","title":"Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena","created":"2023-06-09","cited_by_count":8626},{"id":"2107.03374","title":"Evaluating Large Language Models Trained on Code","created":"2021-07-07","cited_by_count":8320},{"id":"2309.06180","title":"Efficient Memory Management for Large Language Model Serving with PagedAttention","created":"2023-09-12","cited_by_count":5944},{"id":"1706.04599","title":"On Calibration of Modern Neural Networks","created":"2017-06-14","cited_by_count":4960},{"id":"2305.20050","title":"Let's Verify Step by Step","created":"2023-05-31","cited_by_count":3789},{"id":"2108.07732","title":"Program Synthesis with Large Language Models","created":"2021-08-16","cited_by_count":3637},{"id":"2403.07974","title":"LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code","created":"2024-03-12","cited_by_count":2004},{"id":"2107.03006","title":"Structured Denoising Diffusion Models in Discrete State-Spaces","created":"2021-07-07","cited_by_count":1719},{"id":"2211.17192","title":"Fast Inference from Transformers via Speculative Decoding","created":"2022-11-30","cited_by_count":1653},{"id":"1906.02530","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","created":"2019-06-06","cited_by_count":1287},{"id":"2312.07104","title":"SGLang: Efficient Execution of Structured Language Model Programs","created":"2023-12-12","cited_by_count":1141},{"id":"2606.19348","title":"DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence","created":"2026-04-26","cited_by_count":1040},{"id":"2205.14217","title":"Diffusion-LM Improves Controllable Text Generation","created":"2022-05-27","cited_by_count":1027},{"id":"2302.01318","title":"Accelerating Large Language Model Decoding with Speculative Sampling","created":"2023-02-02","cited_by_count":1006},{"id":"2401.06066","title":"DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models","created":"2024-01-11","cited_by_count":867},{"id":"2401.10774","title":"Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads","created":"2024-01-19","cited_by_count":843},{"id":"2401.09670","title":"DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving","created":"2024-01-18","cited_by_count":617},{"id":"2401.15077","title":"EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty","created":"2024-01-26","cited_by_count":578},{"id":"2406.11939","title":"From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline","created":"2024-06-17","cited_by_count":500},{"id":"1711.02281","title":"Non-Autoregressive Neural Machine Translation","created":"2017-11-07","cited_by_count":463},{"id":"2503.09573","title":"Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models","created":"2025-03-12","cited_by_count":409},{"id":"2406.16858","title":"EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees","created":"2024-06-24","cited_by_count":370},{"id":"2305.09781","title":"SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification","created":"2023-05-16","cited_by_count":365},{"id":"2404.19737","title":"Better & Faster Large Language Models via Multi-token Prediction","created":"2024-04-30","cited_by_count":360},{"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},{"id":"1811.03115","title":"Blockwise Parallel Decoding for Deep Autoregressive Models","created":"2018-11-07","cited_by_count":323},{"id":"2404.16710","title":"LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding","created":"2024-04-25","cited_by_count":307},{"id":"2401.07851","title":"Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding","created":"2024-01-15","cited_by_count":269},{"id":"2409.02908","title":"Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling","created":"2024-09-04","cited_by_count":208},{"id":"2203.16487","title":"Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation","created":"2022-03-30","cited_by_count":171},{"id":"2311.08252","title":"REST: Retrieval-Based Speculative Decoding","created":"2023-11-14","cited_by_count":150},{"id":"2602.06036","title":"DFlash: Block Diffusion for Flash Speculative Decoding","created":"2026-02-05","cited_by_count":135},{"id":"2402.05109","title":"Hydra: Sequentially-Dependent Draft Heads for Medusa Decoding","created":"2024-02-07","cited_by_count":117},{"id":"2506.00413","title":"Accelerating Diffusion LLMs via Adaptive Parallel Decoding","created":"2025-05-31","cited_by_count":112},{"id":"1803.03382","title":"Fast Decoding in Sequence Models using Discrete Latent Variables","created":"2018-03-09","cited_by_count":104},{"id":"2008.07905","title":"Glancing Transformer for Non-Autoregressive Neural Machine Translation","created":"2020-08-18","cited_by_count":103},{"id":"2004.07437","title":"Non-Autoregressive Machine Translation with Latent Alignments","created":"2020-04-16","cited_by_count":96},{"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},{"id":"2408.12757","title":"NanoFlow: Towards Optimal Large Language Model Serving Throughput","created":"2024-08-22","cited_by_count":90},{"id":"1909.02480","title":"FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow","created":"2019-09-05","cited_by_count":89},{"id":"2512.24880","title":"mHC: Manifold-Constrained Hyper-Connections","created":"2025-12-31","cited_by_count":88},{"id":"2402.02082","title":"GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding","created":"2024-02-03","cited_by_count":75},{"id":"2405.19715","title":"SpecDec++: Boosting Speculative Decoding via Adaptive Candidate Lengths","created":"2024-05-30","cited_by_count":75},{"id":"1811.04719","title":"End-to-End Non-Autoregressive Neural Machine Translation with Connectionist Temporal Classification","created":"2018-11-12","cited_by_count":72},{"id":"2408.15766","title":"Learning Harmonized Representations for Speculative Sampling","created":"2024-08-28","cited_by_count":72},{"id":"2410.06916","title":"SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration","created":"2024-10-09","cited_by_count":72},{"id":"1910.11555","title":"Fast Structured Decoding for Sequence Models","created":"2019-10-25","cited_by_count":59},{"id":"2106.05093","title":"Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation","created":"2021-06-09","cited_by_count":57},{"id":"2106.04970","title":"Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding","created":"2021-06-09","cited_by_count":53},{"id":"1808.08583","title":"Semi-Autoregressive Neural Machine Translation","created":"2018-08-26","cited_by_count":48},{"id":"2205.07459","title":"Directed Acyclic Transformer for Non-Autoregressive Machine Translation","created":"2022-05-16","cited_by_count":44},{"id":"2409.20370","title":"The Perfect Blend: Redefining RLHF with Mixture of Judges","created":"2024-09-30","cited_by_count":43},{"id":"2510.02358","title":"DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding","created":"2025-09-28","cited_by_count":42},{"id":"2411.10666","title":"SAM Decoding: Speculative Decoding via Suffix Automaton","created":"2024-11-16","cited_by_count":39},{"id":"2505.09343","title":"Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures","created":"2025-05-14","cited_by_count":39},{"id":"2403.09919","title":"Recurrent Drafter for Fast Speculative Decoding in Large Language Models","created":"2024-03-14","cited_by_count":37},{"id":"2406.14066","title":"TurboSpec: Closed-loop Speculation Control System for Optimizing LLM Serving Goodput","created":"2024-06-20","cited_by_count":37},{"id":"2605.29707","title":"Domino: Decoupling Causal Modeling from Autoregressive Drafting in Speculative Decoding","created":"2026-05-28","cited_by_count":34},{"id":"2004.10454","title":"A Study of Non-autoregressive Model for Sequence Generation","created":"2020-04-22","cited_by_count":31},{"id":"2405.04304","title":"Dynamic Speculation Lookahead Accelerates Speculative Decoding of Large Language Models","created":"2024-05-07","cited_by_count":31},{"id":"2504.18583","title":"PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model Adaptation","created":"2025-04-23","cited_by_count":29},{"id":"2604.12989","title":"Accelerating Speculative Decoding with Block Diffusion Draft Trees","created":"2026-04-14","cited_by_count":29},{"id":"2206.05975","title":"On the Learning of Non-Autoregressive Transformers","created":"2022-06-13","cited_by_count":27},{"id":"2511.00606","title":"SpecDiff-2: Scaling Diffusion Drafter Alignment For Faster Speculative Decoding","created":"2025-11-01","cited_by_count":26},{"id":"2601.19278","title":"DART: Diffusion-Inspired Speculative Decoding for Fast LLM Inference","created":"2026-01-27","cited_by_count":24},{"id":"2502.14856","title":"FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling","created":"2025-02-20","cited_by_count":20},{"id":"2106.08122","title":"Sequence-Level Training for Non-Autoregressive Neural Machine Translation","created":"2021-06-15","cited_by_count":18},{"id":"2205.10350","title":"Lossless Acceleration for Seq2seq Generation with Aggressive Decoding","created":"2022-05-20","cited_by_count":18},{"id":"2503.05096","title":"AdaSpec: Adaptive Speculative Decoding for Fast, SLO-Aware Large Language Model Serving","created":"2025-03-07","cited_by_count":18},{"id":"2412.01447","title":"PLD+: Accelerating LLM inference by leveraging Language Model Artifacts","created":"2024-12-02","cited_by_count":17},{"id":"2412.00061","title":"Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration","created":"2024-11-25","cited_by_count":15},{"id":"2502.15197","title":"TETRIS: Optimal Draft Token Selection for Batch Speculative Decoding","created":"2025-02-21","cited_by_count":15},{"id":"2606.18394","title":"JetSpec: Breaking the Scaling Ceiling of Speculative Decoding with Parallel Tree Drafting","created":"2026-06-16","cited_by_count":15},{"id":"2509.18362","title":"FastMTP: Accelerating LLM Inference with Enhanced Multi-Token Prediction","created":"2025-09-16","cited_by_count":13},{"id":"2601.07353","title":"TALON: Confidence-Aware Speculative Decoding with Adaptive Token Trees","created":"2026-01-12","cited_by_count":13},{"id":"2604.09603","title":"ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios","created":"2026-03-10","cited_by_count":12},{"id":"2604.09557","title":"SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding","created":"2026-02-10","cited_by_count":10},{"id":"2606.16824","title":"CacheWise: Understanding Workloads and Optimizing KVCache Management for Efficiently Serving LLM Coding Agents","created":"2026-06-15","cited_by_count":10},{"id":"2606.00487","title":"TAPS: Target-Aware Prefix Tree Selection for Diffusion-Drafted Speculative Decoding","created":"2026-05-30","cited_by_count":9},{"id":"2606.02091","title":"DFlare: Scaling Up Draft Capacity for Block Diffusion Speculative Decoding","created":"2026-06-01","cited_by_count":9},{"id":"2605.08632","title":"PARD-2: Target-Aligned Parallel Draft Model for Dual-Mode Speculative Decoding","created":"2026-05-09","cited_by_count":8},{"id":"2510.20064","title":"Not-a-Bandit: Provably No-Regret Drafter Selection in Speculative Decoding for LLMs","created":"2025-10-22","cited_by_count":7},{"id":"2512.22420","title":"Nightjar: Dynamic Adaptive Speculative Decoding for Large Language Models Serving","created":"2025-12-27","cited_by_count":6},{"id":"2602.01469","title":"P-EAGLE: Parallel-Drafting EAGLE with Scalable Training","created":"2026-02-01","cited_by_count":6},{"id":"2602.13836","title":"Speculative Decoding with a Speculative Vocabulary","created":"2026-02-14","cited_by_count":6},{"id":"2605.20104","title":"Draft Less, Retrieve More: Hybrid Tree Construction for Speculative Decoding","created":"2026-05-19","cited_by_count":6},{"id":"2510.26697","title":"The End of Manual Decoding: Towards Truly End-to-End Language Models","created":"2025-10-30","cited_by_count":5},{"id":"2310.17217","title":"Beyond MLE: Convex Learning for Text Generation","created":"2023-10-26","cited_by_count":4},{"id":"2311.07941","title":"Non-autoregressive Machine Translation with Probabilistic Context-free Grammar","created":"2023-11-14","cited_by_count":4},{"id":"2605.09992","title":"Attention Drift: What Autoregressive Speculative Decoding Models Learn","created":"2026-05-11","cited_by_count":4},{"id":"2602.01274","title":"PACER: Blockwise Pre-verification for Speculative Decoding with Adaptive Length","created":"2026-02-01","cited_by_count":2},{"id":"2604.12247","title":"SpecBound: Adaptive Bounded Self-Speculation with Layer-wise Confidence Calibration","created":"2026-04-14","cited_by_count":1}],"next_cursor":null}