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2,738 papers of our library cite it (of the 140,884 whose bibliographies we read) · 70 with a page here, the most cited first · ← the paper

  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 of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,847 citations
  3. DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsZhihong Shao, Peiyi Wang, Qihao Zhu, et al.2024 · 2,013 citations
  4. Qwen Technical ReportJinze Bai, Shuai Bai, Yunfei Chu, et al.2023 · 1,643 citations
  5. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhoneMarah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,113 citations
  6. LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language ModelsYaowei Zheng, Richong Zhang, Junhao Zhang, et al.2024 · 1,035 citations
  7. SGLang: Efficient Execution of Structured Language Model ProgramsLianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 710 citations
  8. Self-RAG: Learning to Retrieve, Generate, and Critique through Self-ReflectionAkari Asai, Zeqiu Wu, Yizhong Wang, et al.2023 · 662 citations
  9. HybridFlow: A Flexible and Efficient RLHF FrameworkGuangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 598 citations
  10. s1: Simple test-time scalingNiklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 584 citations
  11. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodeNaman Jain, King Han, Alex Gu, et al.2024 · 540 citations
  12. Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsPeiyi Wang, Lei Li, Zhihong Shao, et al.2024 · 482 citations
  13. Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
  14. Yi: Open Foundation Models by 01.AIAlex Young, Bei Chen, Chao Li, et al.2024 · 402 citations
  15. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingNathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 379 citations
  16. 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
  17. Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding HeadsTianle Cai, Yuhong Li, Zhengyang Geng, et al.2024 · 271 citations
  18. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsBernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 264 citations
  19. MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training StrategiesShengding Hu, Yuge Tu, Xu Han, et al.2024 · 258 citations
  20. 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
  21. KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV CacheZirui Liu, Jiayi Yuan, Hongye Jin, et al.2024 · 243 citations
  22. Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free LunchLe Yu, Bowen Yu, Haiyang Yu, et al.2023 · 209 citations
  23. Quest: Query-Aware Sparsity for Efficient Long-Context LLM InferenceJiaming Tang, Yilong Zhao, Kan Zhu, et al.2024 · 197 citations
  24. Refusal in Language Models Is Mediated by a Single DirectionAndy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 188 citations
  25. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex InstructionsTerry Yue Zhuo, Minh Chien Vu, Jenny Chim, et al.2024 · 163 citations
  26. Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative DecodingJun Zhang, Jue Wang, Huan Li, et al.2024 · 146 citations
  27. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 145 citations
  28. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingZhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 144 citations
  29. 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
  30. OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkJian Hu, Xibin Wu, Wei Shen, et al.2024 · 132 citations
  31. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context MemoryChaojun Xiao, Pengle Zhang, Xu Han, et al.2024 · 125 citations
  32. AlphaMath Almost Zero: Process Supervision without ProcessGuoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 119 citations
  33. ProcessBench: Identifying Process Errors in Mathematical ReasoningChujie Zheng, Zhenru Zhang, Beichen Zhang, et al.2025 · 116 citations
  34. Qwen3-Omni Technical ReportJin Xu, Zhifang Guo, Hangrui Hu, et al.2025 · 114 citations
  35. 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
  36. Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRsKanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.2025 · 110 citations
  37. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
  38. DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming HeadsGuangxuan Xiao, Jiaming Tang, Jingwei Zuo, et al.2024 · 109 citations
  39. Qwen2.5-1M Technical ReportAn Yang, Bowen Yu, Chengyuan Li, et al.2025 · 100 citations
  40. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations
  41. 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
  42. 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
  43. Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMsShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2026 · 2 citations
  44. KCIF: Knowledge-Conditioned Instruction FollowingRudra Murthy, Praveen Venkateswaran, Prince Kumar, et al.2026 · 2 citations
  45. Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error AnnotationsShaomu Tan, Ryosuke Mitani, Ritvik Choudhary, et al.2026 · 2 citations
  46. Can Large Language Models Predict the Outcome of Judicial Decisions?Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Amani Al-Ghraibah2025 · 2 citations
  47. Addressing the Ecological Fallacy in Larger LMs with Human ContextNikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, et al.2026 · 1 citation
  48. CLASE: A Hybrid Method for Chinese Legalese Stylistic EvaluationYiran Rex Ma, Yuxiao Ye, Huiyuan Xie2026 · 1 citation
  49. 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
  50. Plan-Guided Text Simplification with Extended ContextsPascal Mathas, Jan Bakker, Jaap Kamps2026 · 1 citation
  51. 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
  52. A Dialogue System for Second Language Learning with Dynamic Adaptation to In-Dialogue Difficulty ChangesTaku Morioka, Junya Takayama, Tomoyuki Kajiwara2026
  53. Augmenting LLM Reasoning with Dynamic Notes Writing for Complex MultiHop QARishabh Maheshwary, Masoud Hashemi, Khyati Mahajan, et al.2026
  54. Beyond Catalogue Counts: The Dataset Visibility Asymmetry in Low-Resource Multilingual NLPZhiyin Tan, Changxu Duan2026
  55. DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised DistillationTom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.2026
  56. Detecting Latin in Historical Books with Large Language Models: A Multimodal BenchmarkYu Wu, Ke Shu, Jonas Fischer, et al.2026
  57. Evaluating Discriminability of Vision-Language ModelsMasayasu Muraoka, Naoaki Okazaki2026
  58. Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMsKei Moriyama, Takashi Kodama, Kouta Nakayama2026
  59. GlossMATE: Multi-Agent Translator Explanations for GlossesChangbing Yang, Patrick Littell, Gabriel Bernier-Colborne, et al.2026
  60. I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in MemesShijia Zhou, Saif M. Mohammad, Barbara Plank, et al.2026
  61. Information Asymmetry across Language Varieties: A Case Study on Cantonese-Mandarin and Bavarian-German QARenhao Pei, Siyao Peng, Verena Blaschke, et al.2026
  62. InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in SummarizationKosuke Nishida, Kyosuke Nishida, Itsumi Saito2026
  63. Orthographic Constraint Satisfaction and Human Difficulty Alignment in Large Language ModelsBryan E. Tuck, Rakesh Verma2026
  64. Russian Generative Spelling, Punctuation and Capitalization CorrectionNikita Martynov, Danil Astafurov, Ulyana Isaeva, et al.2026
  65. Simplify-Pro: A Two-level and Progressive LLM-based Framework for Auto Long Text SimplificationPeng Zhou, Guangxin Li, Xiaoying Huang, et al.2026
  66. Stands to Reason: Investigating the Effect of Reasoning on Idiomaticity DetectionDylan Phelps, Rodrigo Wilkens, Edward Gow-Smith, et al.2026
  67. The MaTOS Pipeline for the Translation of Scientific Abstracts on the HAL PlatformPanagiotis Tsolakis, Ziqian Peng, Laurent Romary, et al.2026
  68. When Similar Means Different: Evaluating LLMs on Arabic–Hebrew CognatesJunhong Liang, Noor Abo Mokh, Bashar Alhafni2026
  69. When the Gold Standard Isn't Necessarily Standard: Challenges of Evaluating the Translation of User-Generated ContentLydia Nishimwe, Benoît Sagot, Rachel Bawden2026
  70. 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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