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Who cites Siyuan Zhuang

3,075 citations of their works from 3,004 papers of our library (of the 140,884 whose bibliographies we read) · 87 with a page here, the most cited first · ← Siyuan Zhuang

  1. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement LearningDeepSeek-AI, Daya Guo, Dejian Yang, et al.2025 · 4,593 citations
  2. A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,640 citations
  3. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
  4. DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsZhihong Shao, Peiyi Wang, Qihao Zhu, et al.2024 · 2,013 citations
  5. Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,643 citations
  6. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhoneMarah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,113 citations
  7. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsYaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,035 citations
  8. SGLang: Efficient Execution of Structured Language Model ProgramsLianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 710 citations
  9. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionAkari Asai, Zeqiu Wu, Yizhong Wang, et al.2023 · 662 citations
  10. HybridFlow: A Flexible and Efficient RLHF FrameworkGuangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 598 citations
  11. s1: Simple test-time scalingNiklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 584 citations
  12. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodeNaman Jain, King Han, Alex Gu, et al.2024 · 540 citations
  13. Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsPeiyi Wang, Lei Li, Zhihong Shao, et al.2024 · 482 citations
  14. Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
  15. Yi: Open Foundation Models by 01.AIAlex Young, Bei Chen, Chao Li, et al.2024 · 402 citations
  16. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingNathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 379 citations
  17. An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language ModelsLiang Chen, Haozhe Zhao, Tianyu Liu, et al.2024 · 276 citations
  18. Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding HeadsTianle Cai, Yuhong Li, Zhengyang Geng, et al.2024 · 271 citations
  19. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsBernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 264 citations
  20. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesShengding Hu, Yuge Tu, Xu Han, et al.2024 · 258 citations
  21. Chatlaw: A Multi-Agent Legal Assistant based on a Role-Aligned Mixture-of-Experts ArchitectureJiaxi Cui; Munan Ning; Zongjian Li; Bohua Chen; Yang Yan; Hao Li; Bin Ling; Yonghong Tian;, Li Yuan2023 · 246 citations
  22. KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheZirui Liu, Jiayi Yuan, Hongye Jin, et al.2024 · 243 citations
  23. WildChat: 1M ChatGPT Interaction Logs in the WildWenting Zhao, Xiang Ren, Jack Hessel, et al.2024 · 213 citations
  24. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchLe Yu, Bowen Yu, Haiyang Yu, et al.2023 · 209 citations
  25. Quest: Query-Aware Sparsity for Efficient Long-Context LLM InferenceJiaming Tang, Yilong Zhao, Kan Zhu, et al.2024 · 197 citations
  26. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsHaitao Li, Qian Dong, Junjie Chen, et al.2024 · 188 citations
  27. Refusal in Language Models Is Mediated by a Single DirectionAndy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 188 citations
  28. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 174 citations
  29. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsTerry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 163 citations
  30. WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMsSeungju Han, Kavel Rao, Allyson Ettinger, et al.2024 · 155 citations
  31. Stop Overthinking: A Survey on Efficient Reasoning for Large Language ModelsYang Sui, Yu-Neng Chuang, Guanchu Wang, et al.2025 · 153 citations
  32. Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingJun Zhang, Jue Wang, Huan Li, et al.2024 · 146 citations
  33. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 145 citations
  34. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingZhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 144 citations
  35. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation TasksAnna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.2024 · 137 citations
  36. Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language ModelsPaul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.2024 · 134 citations
  37. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningZayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 133 citations
  38. OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkJian Hu, Xibin Wu, Wei Shen, et al.2024 · 132 citations
  39. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryChaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 125 citations
  40. AlphaMath Almost Zero: Process Supervision without ProcessGuoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 119 citations
  41. ProcessBench: Identifying Process Errors in Mathematical ReasoningChujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
  42. HealthBench: Evaluating Large Language Models Towards Improved Human HealthRahul K. Arora, Jason Wei, Rebecca Soskin Hicks, et al.2025 · 115 citations
  43. Qwen3-Omni Technical ReportJin Xu, Zhifang Guo, Hangrui Hu, et al.2025 · 114 citations
  44. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 114 citations
  45. DeepSeek-Prover-V1.5: Harnessing Proof Assistant Feedback for Reinforcement Learning and Monte-Carlo Tree SearchHuajian Xin, Z. Z. Ren, Junxiao Song, et al.2024 · 113 citations
  46. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsKanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 110 citations
  47. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
  48. DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsGuangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.2024 · 109 citations
  49. Nemotron-4 340B Technical ReportNvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 102 citations
  50. Qwen2.5-1M Technical ReportAn Yang, Bowen Yu, Chengyuan Li, et al.2025 · 100 citations
  51. MT-Eval: A Multi-Turn Capabilities Evaluation Benchmark for Large Language ModelsWai-Chung Kwan, Xingshan Zeng, Yuxin Jiang, et al.2024 · 66 citations
  52. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
  53. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
  54. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnLiang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
  55. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningNishad Singhi, Hritik Bansal, Arian Hosseini, et al.2025 · 12 citations
  56. Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMsShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2026 · 2 citations
  57. KCIF: Knowledge-Conditioned Instruction FollowingRudra Murthy, Praveen Venkateswaran, Prince Kumar, et al.2026 · 2 citations
  58. Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error AnnotationsShaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al.2026 · 2 citations
  59. Can Large Language Models Predict the Outcome of Judicial Decisions?Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Amani Al-Ghraibah2025 · 2 citations
  60. Addressing the Ecological Fallacy in Larger LMs with Human ContextNikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, et al.2026 · 1 citation
  61. CLASE: A Hybrid Method for Chinese Legalese Stylistic EvaluationYiran Rex Ma, Yuxiao Ye, Huiyuan Xie2026 · 1 citation
  62. German General Social Survey Personas: A Survey-Derived Persona Prompt Collection for Population-Aligned LLM StudiesJens Rupprecht, Leon Froehling, Claudia Wagner, et al.2026 · 1 citation
  63. Plan-Guided Text Simplification with Extended ContextsPascal Mathas, Jan Bakker, Jaap Kamps2026 · 1 citation
  64. SEFL: A Framework for Generating Synthetic Educational Assignment Feedback with LLM AgentsMike Zhang, Amalie Pernille Dilling, Léon Gondelman, et al.2026 · 1 citation
  65. Sense and Sensitivity: “Reasoning” Models are More Robust, but can Diverge from Human Consensus in a Legal Interpretation TaskDawson Petersen, Abhishek Purushothama, Nathan Schneider2026 · 1 citation
  66. A Dialogue System for Second Language Learning with Dynamic Adaptation to In-Dialogue Difficulty ChangesTaku Morioka, Junya Takayama, Tomoyuki Kajiwara2026
  67. Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QARishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.2026
  68. Beyond Catalogue Counts: The Dataset Visibility Asymmetry in Low-Resource Multilingual NLPZhiyin Tan, Changxu Duan2026
  69. DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised DistillationTom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.2026
  70. Detecting Hallucinations in Authentic LLM–Human InteractionsYujie Ren, Niklas Gruhlke, Anne Lauscher2026
  71. Detecting Latin in Historical Books with Large Language Models: A Multimodal BenchmarkYu Wu, Ke Shu, Jonas Fischer, et al.2026
  72. Evaluating Discriminability of Vision-Language ModelsMasayasu Muraoka, Naoaki Okazaki2026
  73. Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMsKei Moriyama, Takashi Kodama, Kouta Nakayama2026
  74. GlossMATE: Multi-Agent Translator Explanations for GlossesChangbing Yang, Patrick Littell, Gabriel Bernier-Colborne, et al.2026
  75. HumaniCA: A Benchmark Resource for the Detection of Users' Ascription of Humanness to Conversational AgentsSabrina Villata, Amon Rapp, Luigi Di Caro, et al.2026
  76. I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in MemesShijia Zhou, Saif M. Mohammad, Barbara Plank, et al.2026
  77. Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QARenhao Pei, Siyao Peng, Verena Blaschke, et al.2026
  78. InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in SummarizationKosuke Nishida, Kyosuke Nishida, Itsumi Saito2026
  79. Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language ModelsBryan E. Tuck, Rakesh Verma2026
  80. Russian Generative Spelling, Punctuation and Capitalization CorrectionNikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.2026
  81. Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text SimplificationPeng Zhou, Guangxin Li, Xiaoying Huang, et al.2026
  82. Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity DetectionDylan Phelps, Rodrigo Wilkens, Edward Gow-Smith, et al.2026
  83. Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-TuningMathias Stenlund, Annika Simonsen, Lars Bungum, et al.2026
  84. The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL PlatformPanagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.2026
  85. When Similar Means Different: Evaluating LLMs on Arabic–Hebrew CognatesJunhong Liang, Noor Abo Mokh, Bashar Alhafni2026
  86. When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated ContentLydia Nishimwe, Benoît Sagot, Rachel Bawden2026
  87. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationShenbin Qian, Yves Scherrer2026

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