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Who cites Clara Rivera

3,776 citations of their works from 3,648 papers of our library (of the 141,840 whose bibliographies we read) · 390 with a page here, the most cited first · page 1 of 4 · 1–100 · ← Clara Rivera

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  1. Large language models are zero-shot reasonersTakeshi Kojima, Shixiang Shane Gu, Machel Reid, et al.2022 · 3,795 citations
  2. A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,641 citations
  3. Scaling Instruction-Finetuned Language ModelsHyung Won Chung, Le Hou, Shayne Longpre, et al.2022 · 3,339 citations
  4. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,222 citations
  5. On the Opportunities and Risks of Foundation ModelsRishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,056 citations
  6. Gemini: A Family of Highly Capable Multimodal ModelsGemini Team, Rohan Anil, Sebastian Borgeaud, et al.2023 · 2,957 citations
  7. A Survey of Large Language ModelsWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,863 citations
  8. Robust Speech Recognition via Large-Scale Weak SupervisionAlec Radford, Jong Wook Kim, Tao Xu, et al.2022 · 2,501 citations
  9. Sparks of Artificial General Intelligence: Early experiments with GPT-4Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al.2023 · 2,400 citations
  10. Emergent Abilities of Large Language ModelsJason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,229 citations
  11. DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsZhihong Shao, Peiyi Wang, Qihao Zhu, et al.2024 · 2,013 citations
  12. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,703 citations
  13. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextGemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,522 citations
  14. A Comprehensive Overview of Large Language ModelsHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,286 citations
  15. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhoneMarah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,113 citations
  16. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,096 citations
  17. MTEB: Massive Text Embedding BenchmarkNiklas Muennighoff, Nouamane Tazi, Loïc Magne, et al.2022 · 1,021 citations
  18. PaLM 2 Technical ReportRohan Anil, Andrew M. Dai, Orhan Firat, et al.2023 · 977 citations
  19. GPQA: A Graduate-Level Google-Proof Q&A BenchmarkDavid Rein, Betty Li Hou, Asa Cooper Stickland, et al.2023 · 964 citations
  20. Constitutional AI: Harmlessness from AI FeedbackYuntao Bai, Saurav Kadavath, Sandipan Kundu, et al.2022 · 962 citations
  21. A Survey on In-context LearningQingxiu Dong, Lei Li, Damai Dai, et al.2023 · 959 citations
  22. Qwen2.5-VL Technical ReportShuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 948 citations
  23. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 948 citations
  24. C-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 920 citations
  25. MMBench: Is Your Multi-modal Model an All-around Player?Yuan Liu, Haodong Duan, Yuanhan Zhang, et al.2023 · 907 citations
  26. Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic CapabilitiesGheorghe Comanici, Eric Bieber, Mike Schaekermann, et al.2025 · 906 citations
  27. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityYejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 876 citations
  28. ChatGPT: Jack of all trades, master of noneJan Kocon, Igor Cichecki, Oliwier Kaszyca, et al.2023 · 865 citations
  29. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 823 citations
  30. GPT-NeoX-20B: An Open-Source Autoregressive Language ModelSidney Black, Stella Biderman, Eric Hallahan, et al.2022 · 821 citations
  31. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionPeng Wang, Shuai Bai, Sinan Tan, et al.2024 · 819 citations
  32. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 811 citations
  33. GLM-130B: An Open Bilingual Pre-trained ModelAohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 779 citations
  34. Towards Reasoning in Large Language Models: A SurveyJie Huang, Kevin Chen-Chuan Chang2023 · 778 citations
  35. Can Large Language Models Transform Computational Social Science?Caleb Ziems, William Held, Omar Shaikh, et al.2023 · 777 citations
  36. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding BenchmarkYubo Wang, Xueguang Ma, Ge Zhang, et al.2024 · 731 citations
  37. SGLang: Efficient Execution of Structured Language Model ProgramsLianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 710 citations
  38. Crosslingual Generalization through Multitask FinetuningNiklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 695 citations
  39. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All ToolsTeam GLM, Aohan Zeng, Bin Xu, et al.2024 · 688 citations
  40. Large Language Models Are Human-Level Prompt EngineersYongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al.2022 · 678 citations
  41. Encouraging Divergent Thinking in Large Language Models through Multi-Agent DebateTian Liang, Zhiwei He, Wenxiang Jiao, et al.2023 · 643 citations
  42. SWE-bench: Can Language Models Resolve Real-World GitHub Issues?Carlos E. Jimenez, John Yang, Alexander Wettig, et al.2024 · 617 citations
  43. BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 612 citations
  44. The Flan Collection: Designing Data and Methods for Effective Instruction TuningShayne Longpre, Le Hou, Tu Vu, et al.2023 · 592 citations
  45. s1: Simple test-time scalingNiklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 584 citations
  46. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingMiles Turpin, Julian Michael, Ethan Perez, et al.2023 · 568 citations
  47. Improving Factuality and Reasoning in Language Models through Multiagent DebateYilun Du, Shuang Li, Antonio Torralba, et al.2023 · 565 citations
  48. Large Language Models Can Self-ImproveJiaxin Huang, Shixiang Gu, Le Hou, et al.2023 · 563 citations
  49. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodeNaman Jain, King Han, Alex Gu, et al.2024 · 540 citations
  50. Unleashing the potential of prompt engineering for large language modelsBanghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
  51. Jailbreaking Black Box Large Language Models in Twenty QueriesPatrick Chao, Alexander Robey, Edgar Dobriban, et al.2023 · 533 citations
  52. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 529 citations
  53. Instruction Tuning for Large Language Models: A SurveyShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 517 citations
  54. Baichuan 2: Open Large-scale Language ModelsAiyuan Yang, Bin Xiao, Bingning Wang, et al.2023 · 513 citations
  55. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingYushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 506 citations
  56. OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific ProblemsChaoqun He, Renjie Luo, Yuzhuo Bai, et al.2024 · 448 citations
  57. FinGPT: Open-Source Financial Large Language ModelsHongyang Yang, Xiao-Yang Liu, Christina Dan Wang2023 · 445 citations
  58. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsPan Lu, Hritik Bansal, Tony Xia, et al.2023 · 441 citations
  59. LLaVA-OneVision: Easy Visual Task TransferBo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 440 citations
  60. The Falcon Series of Open Language ModelsEbtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 436 citations
  61. Ethical and social risks of harm from Language ModelsLaura Weidinger, John Mellor, Maribeth Rauh, et al.2021 · 429 citations
  62. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsYuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 428 citations
  63. Kimi k1.5: Scaling Reinforcement Learning with LLMsKimi Team, Angang Du, Bofei Gao, et al.2025 · 413 citations
  64. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 408 citations
  65. AgentBench: Evaluating LLMs as AgentsXiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 405 citations
  66. Yi: Open Foundation Models by 01.AIAlex Young, Bei Chen, Chao Li, et al.2024 · 402 citations
  67. Whose Opinions Do Language Models Reflect?Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.2023 · 392 citations
  68. Large Language Models as OptimizersChengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 390 citations
  69. CMMLU: Measuring massive multitask language understanding in ChineseHaonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 385 citations
  70. A Survey on Model Compression for Large Language ModelsXunyu Zhu, Jian Li, Yong Liu, et al.2024 · 381 citations
  71. LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsNeel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li2023 · 381 citations
  72. Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical ReasoningLiangming Pan, Alon Albalak, Xinyi Wang, et al.2023 · 370 citations
  73. VILA: On Pre-training for Visual Language ModelsJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 368 citations
  74. Augmented Language Models: a SurveyGrégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 366 citations
  75. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructHaipeng Luo, Qingfeng Sun, Can Xu, et al.2023 · 366 citations
  76. The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryChris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 362 citations
  77. Datasets: A Community Library for Natural Language ProcessingQuentin Lhoest, Albert Villanova del Moral, Yacine Jernite, et al.2021 · 359 citations
  78. Orca: Progressive Learning from Complex Explanation Traces of GPT-4Subhabrata Mukherjee, Arindam Mitra, Ganesh Jawahar, et al.2023 · 358 citations
  79. Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborOr Honovich, Thomas Scialom, Omer Levy, et al.2023 · 358 citations
  80. BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetJiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 352 citations
  81. TinyLlama: An Open-Source Small Language ModelPeiyuan Zhang, Guangtao Zeng, Tianduo Wang, et al.2024 · 351 citations
  82. UL2: Unifying Language Learning ParadigmsYi Tay, Mostafa Dehghani, Vinh Q. Tran, et al.2022 · 335 citations
  83. Scaling Speech Technology to 1,000+ LanguagesVineel Pratap, Andros Tjandra, Bowen Shi, et al.2023 · 331 citations
  84. 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
  85. Are Emergent Abilities of Large Language Models a Mirage?Rylan Schaeffer, Brando Miranda, Sanmi Koyejo2023 · 323 citations
  86. MM-LLMs: Recent Advances in MultiModal Large Language ModelsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 318 citations
  87. WANLI: Worker and AI Collaboration for Natural Language Inference Dataset CreationAlisa Liu, Swabha Swayamdipta, Noah A. Smith, et al.2022 · 314 citations
  88. Faith and Fate: Limits of Transformers on CompositionalityNouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 313 citations
  89. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalMantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 312 citations
  90. Discovering Language Model Behaviors with Model-Written EvaluationsEthan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 307 citations
  91. Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic LanguagesGowtham Ramesh, Sumanth Doddapaneni, Aravinth Bheemaraj, et al.2022 · 307 citations
  92. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesYizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 304 citations
  93. Large Language Models are Better Reasoners with Self-VerificationYixuan Weng, Minjun Zhu, Fei Xia, et al.2023 · 302 citations
  94. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
  95. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 297 citations
  96. MEGA: Multilingual Evaluation of Generative AIKabir Ahuja, Harshita Diddee, Rishav Hada, et al.2023 · 282 citations
  97. Larger language models do in-context learning differentlyJerry Wei, Jason Wei, Yi Tay, et al.2023 · 279 citations
  98. 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
  99. 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
  100. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersBoshi Wang, Sewon Min, Xiang Deng, et al.2023 · 269 citations

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