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Who cites Miltiadis Allamanis

2,877 citations of their works from 2,713 papers of our library (of the 149,439 whose bibliographies we read) · 659 with a page here, the most cited first · page 2 of 7 · 101–200 · ← Miltiadis Allamanis

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  1. InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and EfficiencyarXiv:2508.18265Weiyun Wang, Zhangwei Gao, Lixin Gu, et al.2025 · 179 citations
  2. Two Tales of Persona in LLMs: A Survey of Role-Playing and PersonalizationFindings of the Association for Computational LinguisticsYu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.2024 · 179 citations
  3. Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved YetConference on Machine Translation (WMT)Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.2024 · 178 citations
  4. Editing-Based SQL Query Generation for Cross-Domain Context-Dependent QuestionsConference on Empirical Methods in Natural Language Processing (EMNLP)Rui Zhang, Tao Yu, Heyang Er, et al.2019 · 177 citations
  5. Aya 23: Open Weight Releases to Further Multilingual ProgressarXiv:2405.15032Viraat Aryabumi, John Dang, Dwarak Talupuru, et al.2024 · 172 citations
  6. Generative Representational Instruction TuningarXiv:2402.09906Niklas Muennighoff, Hongjin Su, Liang Wang, et al.2024 · 172 citations
  7. Capabilities of Gemini Models in MedicinearXiv:2404.18416Khaled Saab, Tao Tu, Wei-Hung Weng, et al.2024 · 170 citations
  8. SantaCoder: don't reach for the stars!arXiv:2301.03988Loubna Ben Allal, Raymond Li, Denis Kocetkov, et al.2023 · 167 citations
  9. A Survey of Machine Learning for Big Code and NaturalnessACM Computing SurveysMiltiadis Allamanis, Earl T. Barr, Premkumar Devanbu, et al.2017 · 167 citations
  10. GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation ModelsarXiv:2508.06471Aohan Zeng, Xin Lv, Qinkai Zheng, et al.2025 · 166 citations
  11. MiniCheck: Efficient Fact-Checking of LLMs on Grounding DocumentsConference on Empirical Methods in Natural Language Processing (EMNLP)Liyan Tang, Philippe Laban, Greg Durrett2024 · 166 citations
  12. Long-form factuality in large language modelsConference on Neural Information Processing Systems (NeurIPS)Jerry Wei, Chengrun Yang, Xinying Song, et al.2024 · 165 citations
  13. What makes a convincing argument? Empirical analysis and detecting attributes of convincingness in Web argumentationConference on Empirical Methods in Natural Language Processing (EMNLP)Ivan Habernal, Iryna Gurevych2016 · 165 citations
  14. Chameleon: Mixed-Modal Early-Fusion Foundation ModelsarXiv:2405.09818Chameleon Team2024 · 159 citations
  15. Training Language Models to Self-Correct via Reinforcement LearningarXiv:2409.12917Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, et al.2024 · 159 citations
  16. PyMT5: multi-mode translation of natural language and Python code with transformersConference on Empirical Methods in Natural Language Processing (EMNLP)Colin Clement, Dawn Drain, Jonathan Timcheck, et al.2020 · 158 citations
  17. Moshi: a speech-text foundation model for real-time dialoguearXiv:2410.00037Alexandre Defossez, Laurent Mazare, Manu Orsini, et al.2024 · 157 citations
  18. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 152 citations
  19. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesConference on Neural Information Processing Systems (NeurIPS)Junho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 152 citations
  20. Generative Verifiers: Reward Modeling as Next-Token PredictionarXiv:2408.15240Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 152 citations
  21. The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual DatasetarXiv:2303.03915Hugo Laurençon, Lucile Saulnier, Thomas Wang, et al.2023 · 150 citations
  22. GPT-4V(ision) is a Generalist Web Agent, if GroundedarXiv:2401.01614Boyuan Zheng, Boyu Gou, Jihyung Kil, et al.2024 · 146 citations
  23. Many-Shot In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 142 citations
  24. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
  25. CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding TasksarXiv:2105.12655Ruchir Puri, David S. Kung, Geert Janssen, et al.2021 · 141 citations
  26. MLVU: Benchmarking Multi-task Long Video UnderstandingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunjie Zhou, Yan Shu, Bo Zhao, et al.2024 · 140 citations
  27. Long-context LLMs Struggle with Long In-context LearningarXiv:2404.02060Tianle Li, Ge Zhang, Quy Duc Do, et al.2024 · 138 citations
  28. Deep Learning for Symbolic MathematicsarXiv:1912.01412Guillaume Lample, François Charton2019 · 138 citations
  29. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsFindings of the Association for Computational LinguisticsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 136 citations
  30. Token-Budget-Aware LLM ReasoningarXiv:2412.18547Tingxu Han, Zhenting Wang, Chunrong Fang, et al.2024 · 136 citations
  31. Humans or LLMs as the Judge? A Study on Judgement BiasConference on Empirical Methods in Natural Language Processing (EMNLP)Guiming Hardy Chen, Shunian Chen, Ziche Liu, et al.2024 · 133 citations
  32. The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Hannah Rose Kirk, Alexander Whitefield, Paul Rottger, et al.2024 · 133 citations
  33. Dialogue Act Recognition via CRF-Attentive Structured NetworkarXiv:1711.05568Zheqian Chen, Rongqin Yang, Zhou Zhao, et al.2017 · 133 citations
  34. Task-aware Retrieval with InstructionsFindings of the Association for Computational LinguisticsAkari Asai, Timo Schick, Patrick Lewis, et al.2023 · 132 citations
  35. Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Li, Yuqi Wang, Runxin Xu, et al.2024 · 129 citations
  36. OpenCodeInterpreter: Integrating Code Generation with Execution and RefinementFindings of the Association for Computational LinguisticsTianyu Zheng, Ge Zhang, Tianhao Shen, et al.2024 · 129 citations
  37. LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal ModelsarXiv:2407.07895Feng Li, Renrui Zhang, Hao Zhang, et al.2024 · 127 citations
  38. SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 127 citations
  39. Learning to Represent Programs with GraphsarXiv:1711.00740Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi2017 · 127 citations
  40. Nomic Embed: Training a Reproducible Long Context Text EmbedderarXiv:2402.01613Zach Nussbaum, John X. Morris, Brandon Duderstadt, et al.2024 · 126 citations
  41. TravelPlanner: A Benchmark for Real-World Planning with Language AgentsarXiv:2402.01622Jian Xie, Kai Zhang, Jiangjie Chen, et al.2024 · 125 citations
  42. A Systematic Evaluation of Large Language Models of CodearXiv:2202.13169Frank F. Xu, Uri Alon, Graham Neubig, et al.2022 · 125 citations
  43. ReACC: A Retrieval-Augmented Code Completion FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Shuai Lu, Nan Duan, Hojae Han, et al.2022 · 125 citations
  44. Mini-Gemini: Mining the Potential of Multi-modality Vision Language ModelsIEEE Transactions on Pattern Analysis and Machine IntelligenceYanwei Li, Yuechen Zhang, Chengyao Wang, et al.2024 · 123 citations
  45. MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding BenchmarkarXiv:2409.02813Xiang Yue, Tianyu Zheng, Yuansheng Ni, et al.2024 · 123 citations
  46. OpenThoughts: Data Recipes for Reasoning ModelsarXiv:2506.04178Etash Guha, Ryan Marten, Sedrick Keh, et al.2025 · 122 citations
  47. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionarXiv:2401.03065Alex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 122 citations
  48. AlphaMath Almost Zero: Process Supervision without ProcessConference on Neural Information Processing Systems (NeurIPS)Guoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 120 citations
  49. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
  50. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
  51. CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMsConference on Neural Information Processing Systems (NeurIPS)Zirui Wang, Mengzhou Xia, Luxi He, et al.2024 · 119 citations
  52. LLaVA-Video: Video Instruction Tuning With Synthetic DataarXiv:2410.02713Yuanhan Zhang, Jinming Wu, Wei Li, et al.2024 · 119 citations
  53. SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language ModelsFindings of the Association for Computational LinguisticsLijun Li, Bowen Dong, Ruohui Wang, et al.2024 · 119 citations
  54. Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive AttacksarXiv:2404.02151Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion2024 · 118 citations
  55. VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMsarXiv:2406.07476Zesen Cheng, Sicong Leng, Hang Zhang, et al.2024 · 118 citations
  56. Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Hao Shao, Shengju Qian, Han Xiao, et al.2024 · 117 citations
  57. Mixture-of-Agents Enhances Large Language Model CapabilitiesarXiv:2406.04692Junlin Wang, Jue Wang, Ben Athiwaratkun, et al.2024 · 116 citations
  58. LMMs-Eval: Reality Check on the Evaluation of Large Multimodal ModelsFindings of the Association for Computational LinguisticsKaichen Zhang, Bo Li, Peiyuan Zhang, et al.2025 · 115 citations
  59. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
  60. Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2arXiv:2408.05147Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy, et al.2024 · 115 citations
  61. Break the Sequential Dependency of LLM Inference Using Lookahead DecodingarXiv:2402.02057Yichao Fu, Peter Bailis, Ion Stoica, et al.2024 · 114 citations
  62. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  63. Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model ScalingarXiv:2501.17811Xiaokang Chen, Zhiyu Wu, Xingchao Liu, et al.2025 · 112 citations
  64. Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and GenerationIEEE Computer Society Conference on Computer Vision and Pattern RecognitionChengyue Wu, Xiaokang Chen, Zhiyu Wu, et al.2024 · 112 citations
  65. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMsarXiv:2410.18451Chris Yuhao Liu, Liang Zeng, Jiacai Liu, et al.2024 · 112 citations
  66. Parallel Iterative Edit Models for Local Sequence TransductionarXiv:1910.02893Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal, et al.2019 · 112 citations
  67. Orca-Math: Unlocking the potential of SLMs in Grade School MatharXiv:2402.14830Arindam Mitra, Hamed Khanpour, Corby Rosset, et al.2024 · 111 citations
  68. ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language ModelsarXiv:2404.07738Jinheon Baek, Sujay Kumar Jauhar, Silviu Cucerzan, et al.2024 · 111 citations
  69. RLHF Workflow: From Reward Modeling to Online RLHFarXiv:2405.07863Hanze Dong, Wei Xiong, Bo Pang, et al.2024 · 111 citations
  70. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
  71. Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?Annual Meeting of the Association for Computational Linguistics (ACL)Qineng Wang, Zihao Wang, Ying Su, et al.2024 · 107 citations
  72. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
  73. Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttentionUSENIX ATC 2024Bin Gao, Zhuomin He, Puru Sharma, et al.2024 · 105 citations
  74. Disentangling Length from Quality in Direct Preference OptimizationFindings of the Association for Computational LinguisticsRyan Park, Rafael Rafailov, Stefano Ermon, et al.2024 · 105 citations
  75. REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage NormalizationarXiv:2501.03262Jian Hu, Jason Klein Liu, Haotian Xu, et al.2025 · 104 citations
  76. Chain of Agents: Large Language Models Collaborating on Long-Context TasksConference on Neural Information Processing Systems (NeurIPS)Yusen Zhang, Ruoxi Sun, Yanfei Chen, et al.2024 · 104 citations
  77. MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 103 citations
  78. Who Wrote this Code? Watermarking for Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Taehyun Lee, Seokhee Hong, Jaewoo Ahn, et al.2024 · 103 citations
  79. How do Large Language Models Handle Multilingualism?Conference on Neural Information Processing Systems (NeurIPS)Yiran Zhao, Wenxuan Zhang, Guizhen Chen, et al.2024 · 102 citations
  80. The Entropy Mechanism of Reinforcement Learning for Reasoning Language ModelsarXiv:2505.22617Ganqu Cui, Yuchen Zhang, Jiacheng Chen, et al.2025 · 101 citations
  81. A Careful Examination of Large Language Model Performance on Grade School ArithmeticConference on Neural Information Processing Systems (NeurIPS)Hugh Zhang, Jeff Da, Dean Lee, et al.2024 · 101 citations
  82. Debating with More Persuasive LLMs Leads to More Truthful AnswersarXiv:2402.06782Akbir Khan, John Hughes, Dan Valentine, et al.2024 · 101 citations
  83. World Model on Million-Length Video And Language With Blockwise RingAttentionarXiv:2402.08268Hao Liu, Wilson Yan, Matei Zaharia, et al.2024 · 99 citations
  84. Safety Alignment Should Be Made More Than Just a Few Tokens DeeparXiv:2406.05946Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, et al.2024 · 97 citations
  85. MAmmoTH2: Scaling Instructions from the WebConference on Neural Information Processing Systems (NeurIPS)Xiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 96 citations
  86. The Platonic Representation HypothesisarXiv:2405.07987Minyoung Huh, Brian Cheung, Tongzhou Wang, et al.2024 · 96 citations
  87. SPoC: Search-based Pseudocode to CodearXiv:1906.04908Sumith Kulal, Panupong Pasupat, Kartik Chandra, et al.2019 · 96 citations
  88. Multi-Agent Collaboration Mechanisms: A Survey of LLMsarXiv:2501.06322Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, et al.2025 · 95 citations
  89. InterCode: Standardizing and Benchmarking Interactive Coding with Execution FeedbackConference on Neural Information Processing Systems (NeurIPS)John Yang, Akshara Prabhakar, Karthik Narasimhan, et al.2023 · 95 citations
  90. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelarXiv:2401.16420Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 94 citations
  91. Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Junde Wu, Jiayuan Zhu, Yunli Qi, et al.2025 · 91 citations
  92. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
  93. CVQA: Culturally-diverse Multilingual Visual Question Answering BenchmarkConference on Neural Information Processing Systems (NeurIPS)David Romero, Chenyang Lyu, Haryo Akbarianto Wibowo, et al.2024 · 90 citations
  94. InternLM-Math: Open Math Large Language Models Toward Verifiable ReasoningarXiv:2402.06332Huaiyuan Ying, Shuo Zhang, Linyang Li, et al.2024 · 90 citations
  95. Learning to Prove Theorems via Interacting with Proof AssistantsarXiv:1905.09381Kaiyu Yang, Jia Deng2019 · 90 citations
  96. GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement LearningarXiv:2507.01006GLM-V Team, Wenyi Hong, Wenmeng Yu, et al.2025 · 89 citations
  97. SuperGPQA: Scaling LLM Evaluation across 285 Graduate DisciplinesarXiv:2502.14739M-A-P Team, Xinrun Du, Yifan Yao, et al.2025 · 89 citations
  98. ReTool: Reinforcement Learning for Strategic Tool Use in LLMsarXiv:2504.11536Jiazhan Feng, Shijue Huang, Xingwei Qu, et al.2025 · 88 citations
  99. Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xudong Lu, Qi Liu, Yuhui Xu, et al.2024 · 88 citations
  100. Pride and Prejudice: LLM Amplifies Self-Bias in Self-RefinementAnnual Meeting of the Association for Computational Linguistics (ACL)Wenda Xu, Guanglei Zhu, Xuandong Zhao, et al.2024 · 88 citations

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