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Who cites Geoffrey Cideron

3,478 citations of their works from 3,370 papers of our library (of the 149,439 whose bibliographies we read) · 962 with a page here, the most cited first · page 3 of 10 · 201–300 · ← Geoffrey Cideron

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  1. CoT-Valve: Length-Compressible Chain-of-Thought TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyin Ma, Guangnian Wan, Runpeng Yu, et al.2025 · 64 citations
  2. MARIO: MAth Reasoning with code Interpreter Output - A Reproducible PipelineFindings of the Association for Computational LinguisticsMinpeng Liao, Chengxi Li, Wei Luo, et al.2024 · 64 citations
  3. SemEval-2026 Task 9: Detecting Multilingual, Multicultural and Multievent Online PolarizationInternational Workshop on Semantic Evaluation (SemEval)Usman Naseem, Robert Geislinger, Ada Ren, et al.2026 · 61 citations
  4. Tree Search for Language Model AgentsarXiv:2407.01476Jing Yu Koh, Stephen McAleer, Daniel Fried, et al.2024 · 61 citations
  5. MiMo-V2-Flash Technical ReportarXiv:2601.02780Xiaomi LLM-Core Team; Bangjun Xiao; Bingquan Xia; Bo Yang; Bofei Gao; Bowen Shen; Chen Zhang; Chenhong He; Chiheng Lou; Fuli Luo; Gang Wang; Gang Xie; Hailin Zhang; Hanglong Lv; Hanyu Li; Heyu Chen; Hongshen Xu; Houbin Zhang; Huaqiu Liu; Jiangshan Duo; Jianyu Wei; Jiebao Xiao; Jinhao Dong; Jun Shi; Junhao Hu; Kainan Bao; Kang Zhou; Lei Li; Liang Zhao; Linghao Zhang; Peidian Li; Qianli Chen; Shaohui Liu; Shihua Yu; Shijie Cao; Shimao Chen; Shouqiu Yu; Shuo Liu; Tianling Zhou; Weijiang Su; Weikun Wang; Wenhan Ma; Xiangwei Deng; Bohan Mao; Bowen Ye; Can Cai; Chenghua Wang; Chengxuan Zhu; Chong Ma; Chun Chen; Chunan Li; Dawei Zhu; Deshan Xiao; Dong Zhang; Duo Zhang; Fangyue Liu; Feiyu Yang; Fengyuan Shi; Guoan Wang; Hao Tian; Hao Wu; Heng Qu; Hongfei Yi; Hongxu An; Hongyi Guan; Xing Zhang; Yifan Song; Yihan Yan; Yihao Zhao; Yingchun Lai; Yizhao Gao; Yu Cheng; Yuanyuan Tian; Yudong Wang; Zhen Tang; Zhengju Tang; Zhengtao Wen; Zhichao Song; Zhixian Zheng; Zihan Jiang; Jian Wen; Jiarui Sun; Jiawei Li; Jinlong Xue; Jun Xia; Kai Fang; Menghang Zhu; Nuo Chen; Qian Tu; Qihao Zhang; Qiying Wang; Rang Li; Rui Ma; Shaolei Zhang; Shengfan Wang; Shicheng Li; Shuhao Gu; Shuhuai Ren; Sirui Deng; Tao Guo; Tianyang Lu; Weiji Zhuang; Weikang Zhang; Weimin Xiong; Wenshan Huang; Wenyu Yang; Xin Zhang; Xing Yong; Xu Wang; Xueyang Xie; Yilin Jiang; Yixin Yang; Yongzhe He; Yu Tu; Yuanliang Dong; Yuchen Liu; Yue Ma; Yue Yu; Yuxing Xiang; Zhaojun Huang; Zhenru Lin; Zhipeng Xu; Zhiyang Chen; Zhonghua Deng; Zihan Zhang;, Zihao Yue2026 · 60 citations
  6. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkarXiv:2402.04788Dongping Chen, Ruoxi Chen, Shilin Zhang, et al.2024 · 60 citations
  7. Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language ModelsarXiv:2402.02207Yongshuo Zong, Ondrej Bohdal, Tingyang Yu, et al.2024 · 60 citations
  8. Generalizing Verifiable Instruction FollowingConference on Neural Information Processing Systems (NeurIPS)Valentina Pyatkin, Saumya Malik, Victoria Graf, et al.2025 · 59 citations
  9. mmBERT: A Modern Multilingual Encoder with Annealed Language LearningarXiv:2509.06888Marc Marone, Orion Weller, William Fleshman, et al.2025 · 59 citations
  10. Rho-1: Not All Tokens Are What You NeedarXiv:2404.07965Zhenghao Lin, Zhibin Gou, Yeyun Gong, et al.2024 · 59 citations
  11. BIG-Bench Extra HardAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Bahare Fatemi, Hritik Bansal, et al.2025 · 58 citations
  12. Premise Order Matters in Reasoning with Large Language ModelsarXiv:2402.08939Xinyun Chen, Ryan A. Chi, Xuezhi Wang, et al.2024 · 58 citations
  13. OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AIConference on Neural Information Processing Systems (NeurIPS)Zhen Huang, Zengzhi Wang, Shijie Xia, et al.2024 · 56 citations
  14. HELMET: How to Evaluate Long-Context Language Models Effectively and ThoroughlyarXiv:2410.02694Howard Yen, Tianyu Gao, Minmin Hou, et al.2024 · 55 citations
  15. StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language ModelsarXiv:2403.07714Zhicheng Guo, Sijie Cheng, Hao Wang, et al.2024 · 55 citations
  16. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsarXiv:2402.14903Aaditya K. Singh, DJ Strouse2024 · 55 citations
  17. A Survey of Resource-efficient LLM and Multimodal Foundation ModelsarXiv:2401.08092Mengwei Xu, Wangsong Yin, Dongqi Cai, et al.2024 · 54 citations
  18. InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HDConference on Neural Information Processing Systems (NeurIPS)Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 54 citations
  19. M³CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-ThoughtAnnual Meeting of the Association for Computational Linguistics (ACL)Qiguang Chen, Libo Qin, Jin Zhang, et al.2024 · 54 citations
  20. Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models — A SurveyarXiv:2404.01869Philipp Mondorf, Barbara Plank2024 · 53 citations
  21. Q*: Improving Multi-step Reasoning for LLMs with Deliberative PlanningarXiv:2406.14283Chaojie Wang, Yanchen Deng, Zhiyi Lyu, et al.2024 · 53 citations
  22. Towards responsible development of generative AI for education: An evaluation-driven approachJurenka2024 · 53 citations
  23. Reasoning Models Know When They're Right: Probing Hidden States for Self-VerificationarXiv:2504.05419Anqi Zhang, Yulin Chen, Jane Pan, et al.2025 · 52 citations
  24. VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Haozhe Wang, Chao Qu, Zuming Huang, et al.2025 · 52 citations
  25. JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionYiyang Ma, Xingchao Liu, Xiaokang Chen, et al.2024 · 52 citations
  26. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
  27. Fast Best-of-N Decoding via Speculative RejectionConference on Neural Information Processing Systems (NeurIPS)Hanshi Sun, Momin Haider, Ruiqi Zhang, et al.2024 · 50 citations
  28. How to Train Data-Efficient LLMsarXiv:2402.09668Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, et al.2024 · 50 citations
  29. Zamba: A Compact 7B SSM Hybrid ModelarXiv:2405.16712Paolo Glorioso, Quentin Anthony, Yury Tokpanov, et al.2024 · 50 citations
  30. MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement LearningarXiv:2503.07365Fanqing Meng, Lingxiao Du, Zongkai Liu, et al.2025 · 49 citations
  31. MathPile: A Billion-Token-Scale Pretraining Corpus for MathConference on Neural Information Processing Systems (NeurIPS)Zengzhi Wang, Xuefeng Li, Rui Xia, et al.2023 · 49 citations
  32. Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI SynergyarXiv:2507.01352Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, et al.2025 · 48 citations
  33. Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language ModelsarXiv:2406.02061Marianna Nezhurina, Lucia Cipolina-Kun, Mehdi Cherti, et al.2024 · 48 citations
  34. Attribute First, then Generate: Locally-attributable Grounded Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Aviv Slobodkin, Eran Hirsch, Arie Cattan, et al.2024 · 48 citations
  35. Unfamiliar Finetuning Examples Control How Language Models HallucinateConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Katie Kang, Eric Wallace, Claire Tomlin, et al.2025 · 47 citations
  36. Pangea: A Fully Open Multilingual Multimodal LLM for 39 LanguagesarXiv:2410.16153Xiang Yue, Yueqi Song, Akari Asai, et al.2024 · 46 citations
  37. EuroLLM-9B: Technical ReportarXiv:2506.04079Pedro Henrique Martins, Joao Alves, Patrick Fernandes, et al.2025 · 45 citations
  38. Gemini Embedding: Generalizable Embeddings from GeminiarXiv:2503.07891Jinhyuk Lee, Feiyang Chen, Sahil Dua, et al.2025 · 45 citations
  39. ClimateGPT: Towards AI Synthesizing Interdisciplinary Research on Climate ChangearXiv:2401.09646David Thulke, Yingbo Gao, Petrus Pelser, et al.2024 · 45 citations
  40. Key-Point-Driven Data Synthesis with its Enhancement on Mathematical ReasoningProceedings of the AAAI Conference on Artificial IntelligenceYiming Huang, Xiao Liu, Yeyun Gong, et al.2024 · 45 citations
  41. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem SolvingarXiv:2405.12205Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, et al.2024 · 45 citations
  42. olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language ModelsarXiv:2502.18443Jake Poznanski, Aman Rangapur, Jon Borchardt, et al.2025 · 44 citations
  43. Reasoning with Latent Thoughts: On the Power of Looped TransformersarXiv:2502.17416Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, et al.2025 · 44 citations
  44. Stop Looking for “Important Tokens” in Multimodal Language Models: Duplication Matters MoreConference on Empirical Methods in Natural Language Processing (EMNLP)Zichen Wen, Yifeng Gao, Shaobo Wang, et al.2025 · 44 citations
  45. Augmenting Math Word Problems via Iterative Question ComposingProceedings of the AAAI Conference on Artificial IntelligenceHaoxiong Liu, Yifan Zhang, Yifan Luo, et al.2024 · 44 citations
  46. NVLM: Open Frontier-Class Multimodal LLMsarXiv:2409.11402Wenliang Dai, Nayeon Lee, Boxin Wang, et al.2024 · 44 citations
  47. General-Reasoner: Advancing LLM Reasoning Across All DomainsConference on Neural Information Processing Systems (NeurIPS)Xueguang Ma, Qian Liu, Dongfu Jiang, et al.2025 · 43 citations
  48. Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process SupervisionFindings of the Association for Computational LinguisticsZihan Wang, Yunxuan Li, Yuexin Wu, et al.2024 · 43 citations
  49. LUQ: Long-text Uncertainty Quantification for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Caiqi Zhang, Fangyu Liu, Marco Basaldella, et al.2024 · 42 citations
  50. Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language ModelsarXiv:2404.12387Reka Team: Aitor Ormazabal, Che Zheng, Cyprien de Masson d'Autume, et al.2024 · 42 citations
  51. DeepSeek: Paradigm Shifts and Technical Evolution in Large AI ModelsarXiv:2507.09955Luolin Xiong, Haofen Wang, Xi Chen, et al.2025 · 41 citations
  52. DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language ModelsarXiv:2411.00836Chengke Zou, Xingang Guo, Rui Yang, et al.2024 · 41 citations
  53. To Believe or Not to Believe Your LLMarXiv:2406.02543Yasin Abbasi Yadkori, Ilja Kuzborskij, Andras Gyorgy, et al.2024 · 41 citations
  54. MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at ScaleAnnual Meeting of the Association for Computational Linguistics (ACL)Jiawei Guo, Tianyu Zheng, Yizhi Li, et al.2025 · 40 citations
  55. Can Large Language Models Faithfully Express Their Intrinsic Uncertainty in Words?Conference on Empirical Methods in Natural Language Processing (EMNLP)Gal Yona, Roee Aharoni, Mor Geva2024 · 40 citations
  56. A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic SystemsarXiv:2504.09037Zixuan Ke, Fangkai Jiao, Yifei Ming, et al.2025 · 39 citations
  57. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.2025 · 39 citations
  58. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
  59. Lean Copilot: Large Language Models as Copilots for Theorem Proving in LeanarXiv:2404.12534Peiyang Song, Kaiyu Yang, Anima Anandkumar2024 · 39 citations
  60. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer ModelsarXiv:2504.03624NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar, et al.2025 · 38 citations
  61. Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?Annual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2025 · 38 citations
  62. ODIN: Disentangled Reward Mitigates Hacking in RLHFarXiv:2402.07319Lichang Chen, Chen Zhu, Davit Soselia, et al.2024 · 38 citations
  63. Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End EngineeringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chenglei Si, Yanzhe Zhang, Ryan Li, et al.2025 · 37 citations
  64. Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?International Conference on Computational Linguistics (COLING)Mingyu Jin, Qinkai Yu, Jingyuan Huang, et al.2025 · 36 citations
  65. Evaluating Frontier Models for Dangerous CapabilitiesarXiv:2403.13793Mary Phuong, Matthew Aitchison, Elliot Catt, et al.2024 · 36 citations
  66. Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language ModelsarXiv:2407.07263Jupinder Parmar, Sanjev Satheesh, Mostofa Patwary, et al.2024 · 36 citations
  67. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
  68. Functional Benchmarks for Robust Evaluation of Reasoning Performance, and the Reasoning GaparXiv:2402.19450Saurabh Srivastava, Annarose M B, Anto P, et al.2024 · 35 citations
  69. AgentGym: Evolving Large Language Model-based Agents across Diverse EnvironmentsarXiv:2406.04151Zhiheng Xi, Yiwen Ding, Wenxiang Chen, et al.2024 · 33 citations
  70. Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning PerspectivearXiv:2412.14135Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin, et al.2024 · 33 citations
  71. The FACTS Grounding Leaderboard: Benchmarking LLMs' Ability to Ground Responses to Long-Form InputarXiv:2501.03200Alon Jacovi, Andrew Wang, Chris Alberti, et al.2025 · 32 citations
  72. ChartGemma: Visual Instruction-tuning for Chart Reasoning in the WildarXiv:2407.04172Ahmed Masry, Megh Thakkar, Aayush Bajaj, et al.2024 · 32 citations
  73. Derivational Morphology Reveals Analogical Generalization in Large Language ModelsProceedings of the National Academy of SciencesValentin Hofmann, Leonie Weissweiler, David Mortensen, et al.2024 · 32 citations
  74. SelfCodeAlign: Self-Alignment for Code GenerationConference on Neural Information Processing Systems (NeurIPS)Yuxiang Wei, Federico Cassano, Jiawei Liu, et al.2024 · 32 citations
  75. Nash Learning from Human FeedbackarXiv:2312.00886Remi Munos, Michal Valko, Daniele Calandriello, et al.2023 · 32 citations
  76. LiPO: Listwise Preference Optimization through Learning-to-RankConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tianqi Liu, Zhen Qin, Junru Wu, et al.2025 · 31 citations
  77. A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
  78. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsConference on Neural Information Processing Systems (NeurIPS)Alexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 31 citations
  79. Weaver: Foundation Models for Creative WritingarXiv:2401.17268Tiannan Wang; Jiamin Chen; Qingrui Jia; Shuai Wang; Ruoyu Fang; Huilin Wang; Zhaowei Gao; Chunzhao Xie; Chuou Xu; Jihong Dai; Yibin Liu; Jialong Wu; Shengwei Ding; Long Li; Zhiwei Huang; Xinle Deng; Teng Yu; Gangan Ma; Han Xiao; Zixin Chen; Danjun Xiang; Yunxia Wang; Yuanyuan Zhu; Yi Xiao; Jing Wang; Yiru Wang; Siran Ding; Jiayang Huang; Jiayi Xu; Yilihamu Tayier; Zhenyu Hu; Yuan Gao; Chengfeng Zheng; Yueshu Ye; Yihang Li; Lei Wan; Xinyue Jiang; Yujie Wang; Siyu Cheng; Zhule Song; Xiangru Tang; Xiaohua Xu; Ningyu Zhang; Huajun Chen; Yuchen Eleanor Jiang;, Wangchunshu Zhou2024 · 31 citations
  80. Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanchi Zhang, Yile Wang, Zijun Liu, et al.2024 · 30 citations
  81. Nemotron-4 15B Technical ReportarXiv:2402.16819Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, et al.2024 · 30 citations
  82. ProxyQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Tan, Zhijiang Guo, Zhan Shi, et al.2024 · 30 citations
  83. RMB: Comprehensively Benchmarking Reward Models in LLM AlignmentarXiv:2410.09893Enyu Zhou, Guodong Zheng, Binghai Wang, et al.2024 · 30 citations
  84. Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language ModelsarXiv:2402.14714Seungduk Kim, Seungtaek Choi, Myeongho Jeong2024 · 29 citations
  85. Transformers Can Achieve Length Generalization But Not RobustlyarXiv:2402.09371Yongchao Zhou, Uri Alon, Xinyun Chen, et al.2024 · 29 citations
  86. T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference ScalingarXiv:2501.11651Zhenyu Hou, Xin Lv, Rui Lu, et al.2025 · 28 citations
  87. ArMeme: Propagandistic Content in Arabic MemesConference on Empirical Methods in Natural Language Processing (EMNLP)Firoj Alam, Abul Hasnat, Fatema Ahmad, et al.2024 · 28 citations
  88. Can Large Language Models Unlock Novel Scientific Research Ideas?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sandeep Kumar, Tirthankar Ghosal, Vinayak Goyal, et al.2025 · 27 citations
  89. LLM Agents Making Agent ToolsAnnual Meeting of the Association for Computational Linguistics (ACL)Georg Wölflein, Dyke Ferber, Daniel Truhn, et al.2025 · 27 citations
  90. LearnLM: Improving Gemini for learningLearnLM Team2024 · 27 citations
  91. Sailor: Open Language Models for South-East AsiaarXiv:2404.03608Longxu Dou, Qian Liu, Guangtao Zeng, et al.2024 · 27 citations
  92. A Survey on Large Language Models for Mathematical ReasoningACM Computing SurveysPeng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, et al.2025 · 26 citations
  93. TreeRL: LLM Reinforcement Learning with On-Policy Tree SearchAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenyu Hou, Ziniu Hu, Yujiang Li, et al.2025 · 26 citations
  94. 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
  95. Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by TencentarXiv:2411.02265Xingwu Sun, Yanfeng Chen, Yiqing Huang, et al.2024 · 25 citations
  96. ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xuanle Zhao, Xianzhen Luo, Qi Shi, et al.2025 · 24 citations
  97. Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?arXiv:2408.10811Chengzhi Zhong, Fei Cheng, Qianying Liu, et al.2024 · 24 citations
  98. AICD Bench: A Challenging Benchmark for AI-Generated Code DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Daniil Orel, Dilshod Azizov, Indraneil Paul, et al.2026 · 23 citations
  99. AI-Assisted Generation of Difficult Math QuestionsarXiv:2407.21009Vedant Shah, Dingli Yu, Kaifeng Lyu, et al.2024 · 23 citations
  100. BOND: Aligning LLMs with Best-of-N DistillationarXiv:2407.14622Pier Giuseppe Sessa, Robert Dadashi, Leonard Hussenot, et al.2024 · 23 citations

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