Elamur Research⌕
☰
home / authors / Paul Barham / cited by / page 2

Who cites Paul Barham

7,879 citations of their works from 7,073 papers of our library (of the 140,884 whose bibliographies we read) · 550 with a page here, the most cited first · page 2 of 6 · 101–200 · ← Paul Barham

1 2 3 … 6

  1. Texygen: A Benchmarking Platform for Text Generation ModelsYaoming Zhu, Sidi Lu, Lei Zheng, et al.2018 · 486 citations
  2. DyNet: The Dynamic Neural Network ToolkitGraham Neubig, Chris Dyer, Yoav Goldberg, et al.2017 · 485 citations
  3. Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsPeiyi Wang, Lei Li, Zhihong Shao, et al.2024 · 482 citations
  4. REPLUG: Retrieval-Augmented Black-Box Language ModelsWeijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 482 citations
  5. Regularizing Neural Networks by Penalizing Confident Output DistributionsGabriel Pereyra, George Tucker, Jan Chorowski, et al.2017 · 482 citations
  6. DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvatureEric Mitchell, Yoonho Lee, Alexander Khazatsky, et al.2023 · 474 citations
  7. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsNan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 474 citations
  8. CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-XQinkai Zheng, Xiao Xia, Xu Zou, et al.2023 · 462 citations
  9. OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific ProblemsChaoqun He, Renjie Luo, Yuzhuo Bai, et al.2024 · 448 citations
  10. LLM-Pruner: On the Structural Pruning of Large Language ModelsXinyin Ma, Gongfan Fang, Xinchao Wang2023 · 447 citations
  11. FinGPT: Open-Source Financial Large Language ModelsHongyang Yang, Xiao-Yang Liu, Christina Dan Wang2023 · 445 citations
  12. Mathematical Capabilities of ChatGPTSimon Frieder, Luca Pinchetti, Alexis Chevalier, et al.2023 · 443 citations
  13. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsPan Lu, Hritik Bansal, Tony Xia, et al.2023 · 441 citations
  14. MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkKunchang Li, Yali Wang, Yinan He, et al.2023 · 441 citations
  15. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 441 citations
  16. LLaVA-OneVision: Easy Visual Task TransferBo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 440 citations
  17. GPT-NER: Named Entity Recognition via Large Language ModelsShuhe Wang, Xiaofei Sun, Xiaoya Li, et al.2025 · 436 citations
  18. The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
  19. Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsMatthew Dahl, Varun Magesh, Mirac Suzgun, et al.2024 · 431 citations
  20. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsYuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 427 citations
  21. Benchmarking Retrieval-Augmented Generation for MedicineGuangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.2024 · 426 citations
  22. Diffusion-LM Improves Controllable Text GenerationXiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al.2022 · 421 citations
  23. Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLsJinyang Li, Binyuan Hui, Ge Qu, et al.2023 · 419 citations
  24. Adversarial Training Methods for Semi-Supervised Text ClassificationTakeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 416 citations
  25. Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
  26. mPLUG-Owl: Modularization Empowers Large Language Models with MultimodalityQinghao Ye, Haiyang Xu, Guohai Xu, et al.2023 · 410 citations
  27. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 406 citations
  28. The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleGuilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 404 citations
  29. AgentBench: Evaluating LLMs as AgentsXiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 404 citations
  30. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisChaoyou Fu, Yuhan Dai, Yongdong Luo, et al.2024 · 403 citations
  31. Yi: Open Foundation Models by 01.AIAlex Young, Bei Chen, Chao Li, et al.2024 · 402 citations
  32. Compressing BERT: Studying the Effects of Weight Pruning on Transfer LearningMitchell Gordon, Kevin Duh, Nicholas Andrews2020 · 400 citations
  33. FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUYing Sheng, Lianmin Zheng, Binhang Yuan, et al.2023 · 399 citations
  34. Large Language Models Cannot Self-Correct Reasoning YetJie Huang, Xinyun Chen, Swaroop Mishra, et al.2023 · 396 citations
  35. Large Language Models as OptimizersChengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 388 citations
  36. RULER: What's the Real Context Size of Your Long-Context Language Models?Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, et al.2024 · 386 citations
  37. Query Rewriting in Retrieval-Augmented Large Language ModelsXinbei Ma, Yeyun Gong, Pengcheng He, et al.2023 · 383 citations
  38. Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexitySoyeong Jeong, Jinheon Baek, Sukmin Cho, et al.2024 · 381 citations
  39. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingNathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 379 citations
  40. Mind2Web: Towards a Generalist Agent for the WebXiang Deng, Yu Gu, Boyuan Zheng, et al.2023 · 376 citations
  41. WebArena: A Realistic Web Environment for Building Autonomous AgentsShuyan Zhou, Frank F. Xu, Hao Zhu, et al.2023 · 371 citations
  42. Llama Guard: LLM-based Input-Output Safeguard for Human-AI ConversationsHakan Inan, Kartikeya Upasani, Jianfeng Chi, et al.2023 · 369 citations
  43. VILA: On Pre-training for Visual Language ModelsJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 367 citations
  44. A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
  45. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructHaipeng Luo, Qingfeng Sun, Can Xu, et al.2023 · 366 citations
  46. The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryChris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 362 citations
  47. Augmented Language Models: a SurveyGrégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 362 citations
  48. Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferenceBenjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.2024 · 355 citations
  49. Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated FeedbackBaolin Peng, Michel Galley, Pengcheng He, et al.2023 · 354 citations
  50. Query2doc: Query Expansion with Large Language ModelsLiang Wang, Nan Yang, Furu Wei2023 · 353 citations
  51. BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetJiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 351 citations
  52. RARR: Researching and Revising What Language Models Say, Using Language ModelsLuyu Gao, Zhuyun Dai, Panupong Pasupat, et al.2023 · 351 citations
  53. SnapKV: LLM Knows What You are Looking for Before GenerationYuhong Li, Yingbing Huang, Bowen Yang, et al.2024 · 350 citations
  54. TinyLlama: An Open-Source Small Language ModelPeiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.2024 · 350 citations
  55. SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational AbilitiesDong Zhang, Shimin Li, Xin Zhang, et al.2023 · 346 citations
  56. Toxicity in chatgpt: Analyzing persona-assigned language modelsAmeet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.2023 · 344 citations
  57. Complexity-Based Prompting for Multi-Step ReasoningYao Fu, Hao Peng, Ashish Sabharwal, et al.2022 · 343 citations
  58. Teaching Small Language Models to ReasonLucie Charlotte Magister, Jonathan Mallinson, Jakub Adamek, et al.2023 · 340 citations
  59. PaLI: A Jointly-Scaled Multilingual Language-Image ModelXi Chen, Xiao Wang, Soravit Changpinyo, et al.2022 · 339 citations
  60. Solving math word problems with process- and outcome-based feedbackJonathan Uesato, Nate Kushman, Ramana Kumar, et al.2022 · 334 citations
  61. UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 334 citations
  62. Neural Codec Language Models are Zero-Shot Text to Speech SynthesizersChengyi Wang, Sanyuan Chen, Yu Wu, et al.2023 · 333 citations
  63. MM-Vet: Evaluating Large Multimodal Models for Integrated CapabilitiesWeihao Yu, Zhengyuan Yang, Linjie Li, et al.2023 · 328 citations
  64. Textbooks Are All You Need II: phi-1.5 technical reportYuanzhi Li, Sébastien Bubeck, Ronen Eldan, et al.2023 · 327 citations
  65. HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsTianrui Guan, Fuxiao Liu, Xiyang Wu, et al.2023 · 326 citations
  66. Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 323 citations
  67. "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language ModelsXinyue Shen, Zeyuan Chen, Michael Backes, et al.2023 · 320 citations
  68. Language Is Not All You Need: Aligning Perception with Language ModelsShaohan Huang, Li Dong, Wenhui Wang, et al.2023 · 319 citations
  69. Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive DecodingSicong Leng, Hang Zhang, Guanzheng Chen, et al.2023 · 317 citations
  70. LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative FusionDongfu Jiang, Xiang Ren, Bill Yuchen Lin2023 · 314 citations
  71. Faith and Fate: Limits of Transformers on CompositionalityNouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 313 citations
  72. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalMantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 312 citations
  73. Chameleon: Plug-and-Play Compositional Reasoning with Large Language ModelsPan Lu, Baolin Peng, Hao Cheng, et al.2023 · 311 citations
  74. MEDITRON-70B: Scaling Medical Pretraining for Large Language ModelsZeming Chen, Alejandro Hernandez Cano, Angelika Romanou, et al.2023 · 307 citations
  75. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesYizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 304 citations
  76. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningBowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 303 citations
  77. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 303 citations
  78. AugGPT: Leveraging ChatGPT for Text Data AugmentationHaixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li2023 · 302 citations
  79. ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale TransformersZhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, et al.2022 · 301 citations
  80. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
  81. InternLM2 Technical ReportZheng Cai, Maosong Cao, Haojiong Chen, et al.2024 · 299 citations
  82. Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMsShengbang Tong, Zhuang Liu, Yuexiang Zhai, et al.2024 · 297 citations
  83. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 297 citations
  84. Large Language Models are Effective Text Rankers with Pairwise Ranking PromptingZhen Qin, Rolf Jagerman, Kai Hui, et al.2024 · 296 citations
  85. Multimodal Chain-of-Thought Reasoning in Language ModelsZhuosheng Zhang, Aston Zhang, Mu Li, et al.2023 · 296 citations
  86. Prompting Large Language Model for Machine Translation: A Case StudyBiao Zhang, Barry Haddow, Alexandra Birch2023 · 293 citations
  87. Text Classification via Large Language ModelsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
  88. MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningXiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 288 citations
  89. On-Policy Distillation of Language Models: Learning from Self-Generated MistakesRishabh Agarwal, Nino Vieillard, Yongchao Zhou, et al.2023 · 288 citations
  90. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageAndy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 285 citations
  91. MEGA: Multilingual Evaluation of Generative AIKabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 281 citations
  92. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsWenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 280 citations
  93. Large Language Models for Mathematical Reasoning: Progresses and ChallengesJanice Ahn, Rishu Verma, Renze Lou, et al.2024 · 279 citations
  94. Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023 · 277 citations
  95. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 276 citations
  96. 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
  97. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingZhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 276 citations
  98. LLM-QAT: Data-Free Quantization Aware Training for Large Language ModelsZechun Liu, Barlas Oguz, Changsheng Zhao, et al.2024 · 275 citations
  99. Llemma: An Open Language Model For MathematicsZhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, et al.2023 · 275 citations
  100. Corrective Retrieval Augmented GenerationShi-Qi Yan, Jia-Chen Gu, Yun Zhu, et al.2024 · 271 citations

1 2 3 … 6

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/paul-barham/cited-by/page/2/