🧑‍🔬 Who cites Zachary Ankner

93 citations of their works from 93 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Zachary Ankner

1. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
2. Kimi k1.5: Scaling Reinforcement Learning with LLMsarXiv:2501.12599Kimi Team, Angang Du, Bofei Gao, et al.2025 · 431 citations
3. FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precisionConference on Neural Information Processing Systems (NeurIPS)Jay Shah, Ganesh Bikshandi, Ying Zhang, et al.2024 · 400 citations
4. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
5. Mooncake: A KVCache-centric Disaggregated Architecture for LLM ServingFAST 2025Ruoyu Qin, Zheming Li, Weiran He, et al.2024 · 161 citations
6. Generative Verifiers: Reward Modeling as Next-Token PredictionarXiv:2408.15240Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 152 citations
7. LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence ParallelismACM SIGOPS Symposium on Operating Systems Principles (SOSP)Bingyang Wu, Shengyu Liu, Yinmin Zhong, et al.2024 · 131 citations
8. 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
9. World Model on Million-Length Video And Language With Blockwise RingAttentionarXiv:2402.08268Hao Liu, Wilson Yan, Matei Zaharia, et al.2024 · 99 citations
10. Inference-Time Scaling for Generalist Reward ModelingarXiv:2504.02495Zijun Liu, Peiyi Wang, Runxin Xu, et al.2025 · 65 citations
11. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
12. Generative Reward ModelsarXiv:2410.12832Dakota Mahan, Duy Van Phung, Rafael Rafailov, et al.2024 · 58 citations
13. AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning datasetarXiv:2504.16891Ivan Moshkov, Darragh Hanley, Ivan Sorokin, et al.2025 · 50 citations
14. RMB: Comprehensively Benchmarking Reward Models in LLM AlignmentarXiv:2410.09893Enyu Zhou, Guodong Zheng, Binghai Wang, et al.2024 · 30 citations
15. TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and GenerationarXiv:2410.03608Jonathan Cook, Tim Rocktaschel, Jakob Foerster, et al.2024 · 29 citations
16. A Survey on Large Language Models for Mathematical ReasoningACM Computing SurveysPeng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, et al.2025 · 26 citations
17. OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Tianci Liu, Ran Xu, Tony Yu, et al.2026 · 25 citations
18. Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-GenerationarXiv:2410.02725Rohin Manvi, Anikait Singh, Stefano Ermon2024 · 22 citations
19. Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language ModelsarXiv:2412.02980Alex Havrilla, Andrew Dai, Laura O'Mahony, et al.2024 · 17 citations
20. 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
21. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningarXiv:2504.01005Nishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
22. mR3: Multilingual Rubric-Agnostic Reward Reasoning ModelsarXiv:2510.01146David Anugraha, Shou-Yi Hung, Zilu Tang, et al.2025 · 5 citations
23. DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree TraversalAnnual Meeting of the Association for Computational Linguistics (ACL)Vaibhav Aggarwal, Ojasv Kamal, Abhinav Japesh, et al.2025 · 4 citations
24. Beyond Length Scaling: Synergizing Breadth and Depth for Generative Reward ModelsFindings of the Association for Computational LinguisticsQiyuan Zhang, Yufei Wang, Tianhe Wu, et al.2026
25. JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM EvaluationFindings of the Association for Computational LinguisticsZhichao Shi, Xuhui Jiang, Chengjin Xu, et al.2026
26. PIRA: Preference-Oriented Instruction-Tuned Reward Models with Dual AggregationFindings of the Association for Computational LinguisticsYongfu Xue2026
27. Reward Modeling for Scientific Writing EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Furkan Şahinuç, Subhabrata Dutta, Iryna Gurevych2026
28. Simple Role Assignment is Extraordinarily Effective for Safety AlignmentFindings of the Association for Computational LinguisticsZhou Ziheng, Jiakun Ding, Zhaowei Zhang, et al.2026

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