🧑‍🔬 Who cites Peter D. Bailis

310 citations of their works from 277 papers of our library (of the 149,439 whose bibliographies we read) · 58 with a page here, the most cited first · ← Peter D. Bailis

1. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesarXiv:2306.13649Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 299 citations
2. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 270 citations
3. DataComp: In search of the next generation of multimodal datasetsConference on Neural Information Processing Systems (NeurIPS)Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, et al.2023 · 224 citations
4. EAGLE: Speculative Sampling Requires Rethinking Feature UncertaintyarXiv:2401.15077Yuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 208 citations
5. LESS: Selecting Influential Data for Targeted Instruction TuningarXiv:2402.04333Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, et al.2024 · 178 citations
6. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingFindings of the Association for Computational LinguisticsHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 146 citations
7. EAGLE-2: Faster Inference of Language Models with Dynamic Draft TreesConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhui Li, Fangyun Wei, Chao Zhang, et al.2024 · 133 citations
8. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
9. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
10. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
11. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
12. Rephrasing the Web: A Recipe for Compute and Data-Efficient Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Pratyush Maini, Skyler Seto, Richard Bai, et al.2024 · 90 citations
13. Why Do Multi-Agent LLM Systems Fail?arXiv:2503.13657Mert Cemri, Melissa Z. Pan, Shuyi Yang, et al.2025 · 89 citations
14. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
15. Finding Support Examples for In-Context LearningFindings of the Association for Computational LinguisticsXiaonan Li, Xipeng Qiu2023 · 78 citations
16. Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
17. What Did I Do Wrong? Quantifying LLMs' Sensitivity and Consistency to Prompt EngineeringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Federico Errica, Davide Sanvito, Giuseppe Siracusano, et al.2025 · 63 citations
18. Deep Think with ConfidencearXiv:2508.15260Yichao Fu, Xuewei Wang, Yuandong Tian, et al.2025 · 61 citations
19. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningarXiv:2402.00530Ming Li, Yong Zhang, Shwai He, et al.2024 · 60 citations
20. Rho-1: Not All Tokens Are What You NeedarXiv:2404.07965Zhenghao Lin, Zhibin Gou, Yeyun Gong, et al.2024 · 59 citations
21. AI Agents That MatterarXiv:2407.01502Sayash Kapoor, Benedikt Stroebl, Zachary S. Siegel, et al.2024 · 55 citations
22. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
23. Towards Thinking-Optimal Scaling of Test-Time Compute for LLM ReasoningConference on Neural Information Processing Systems (NeurIPS)Wenkai Yang, Shuming Ma, Yankai Lin, et al.2025 · 43 citations
24. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved SamplingarXiv:2410.11325Wenda Xu, Rujun Han, Zifeng Wang, et al.2024 · 41 citations
25. MambaByte: Token-free Selective State Space ModelarXiv:2401.13660Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, et al.2024 · 35 citations
26. Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token RecyclingAnnual Meeting of the Association for Computational Linguistics (ACL)Xianzhen Luo, Yixuan Wang, Qingfu Zhu, et al.2025 · 22 citations
27. MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Justin Chen, Archiki Prasad, Swarnadeep Saha, et al.2025 · 20 citations
28. Diversity-oriented Data Augmentation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zaitian Wang, Jinghan Zhang, Xinhao Zhang, et al.2025 · 17 citations
29. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
30. Automatic Combination of Sample Selection Strategies for Few-Shot LearningFindings of the Association for Computational LinguisticsBranislav Pecher, Ivan Srba, Maria Bielikova, et al.2026 · 15 citations
31. FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative SamplingAnnual Meeting of the Association for Computational Linguistics (ACL)Weilin Zhao, Tengyu Pan, Xu Han, et al.2025 · 15 citations
32. Dynamic Parallel Tree Search for Efficient LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yifu Ding, Wentao Jiang, Shunyu Liu, et al.2025 · 13 citations
33. SEED: Accelerating Reasoning Tree Construction via Scheduled Speculative DecodingInternational Conference on Computational Linguistics (COLING)Zhenglin Wang, Jialong Wu, Yilong Lai, et al.2025 · 8 citations
34. LogitSpec: Accelerating Retrieval-based Speculative Decoding via Next Next Token SpeculationFindings of the Association for Computational LinguisticsTianyu Liu, Qitan Lv, Hao Li, et al.2026 · 6 citations
35. KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set OptimizationFindings of the Association for Computational LinguisticsMingbo Song, Heming Xia, Jun Zhang, et al.2026 · 5 citations
36. LongSpec: Long-Context Lossless Speculative Decoding with Efficient Drafting and VerificationAnnual Meeting of the Association for Computational Linguistics (ACL)Penghui Yang, Cunxiao Du, Fengzhuo Zhang, et al.2026 · 5 citations
37. DeepPrune: Parallel Scaling without Inter-trace RedundancyFindings of the Association for Computational LinguisticsShangqing Tu, Yaxuan Li, Yushi Bai, et al.2026 · 3 citations
38. Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution ReconstructionFindings of the Association for Computational LinguisticsXu Shen, Qi Zhang, Song Wang, et al.2026 · 3 citations
39. SSSD: Simply-Scalable Speculative DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Michele Marzollo, Jiawei Zhuang, Niklas Roemer, et al.2026 · 3 citations
40. EvoRoute: Experience-Driven Self-Routing LLM Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Guibin Zhang, Haiyang Yu, Kaiming Yang, et al.2026 · 2 citations
41. Sparrow: Text-Anchored Window Attention with Visual-Semantic Glimpsing for Speculative Decoding in Video LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Libo Zhang, Zhaoning Zhang, Hongwanyang, et al.2026 · 2 citations
42. Speculative Decoding Speed-of-Light: Optimal Lower Bounds via Branching Random WalksConference of the European Chapter of the Association for Computational Linguistics (EACL)Sergey Pankratov, Dan Alistarh2026 · 1 citation
43. VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering and Candidate Answer SelectionFindings of the Association for Computational LinguisticsJames Petullo, Sonny George, Dylan Cashman, et al.2026 · 1 citation
44. A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Shengji Tang, Jianjian Cao, Weihao Lin, et al.2026
45. An Empirical Study of Speculative Decoding for Small Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Luca Mainardi, Selcuk Sandikci, Joaquin Vanschoren2026
46. Calibrated Speculative Decoding: Frequency-Guided Candidate Selection for Efficient InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Zhouxuwen, Fangxin Liu, Chao Wang, et al.2026
47. Chronos: Learning Temporal Dynamics of Reasoning Chains for Test-Time ScalingFindings of the Association for Computational LinguisticsKai Zhang, Jiayi Liao, Chengpeng Li, et al.2026
48. From Tokens to Steps: Verification-Aware Speculative Decoding for Efficient Multi-Step ReasoningFindings of the Association for Computational LinguisticsKiran Purohit, Ramasuri Narayanam, Soumyabrata Pal2026
49. HCSpec: Two-Tier Horizontal Cascade Speculative Decoding for High-Efficiency Large Language Model InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Yizhou Zhang, Siming Chen, Hao Ye, et al.2026
50. Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense RetrievalFindings of the Association for Computational LinguisticsRuiran Yan, Wen Xiong, Ze Liu, et al.2026
51. MARS: Unleashing the Power of Speculative Decoding via Margin-Aware VerificationFindings of the Association for Computational LinguisticsJingwei Song, Xinyu Wang, Hanbin Wang, et al.2026
52. Measuring Distribution Shift in User Prompts and Its Effects on LLM PerformanceAnnual Meeting of the Association for Computational Linguistics (ACL)Parker Seegmiller, Sarah Masud Preum2026
53. MelTrim: Coarse-to-Fine Data Pruning for Speech ClassificationFindings of the Association for Computational LinguisticsShaobo Wang, Tianle Niu, Xuan Ouyang, et al.2026
54. RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Jize Wang, Han Wu, Zhiyuan You, et al.2026
55. SpecBound: Adaptive Bounded Self-Speculation with Layer-wise Confidence CalibrationFindings of the Association for Computational LinguisticsZhuofan Wen, Yang Feng2026
56. Taming “Zombie” Agents: A Markov State-Aware Framework for Resilient Multi-Agent EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Pukun Zhao, Qizhou Chen, et al.2026
57. TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model PairsAnnual Meeting of the Association for Computational Linguistics (ACL)Sibo Xiao, Fu Jinyuan, Zhongle Xie, et al.2026
58. Training-Free Adaptive Speculative Decoding via Linguistic PriorsFindings of the Association for Computational LinguisticsJingyi Wang, Jiaqi Huang, Zunnan Xu, et al.2026

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