---
title: "Who cites Dario Amodei"
description: "3856 papers of the Elamur Research library cite the works of Dario Amodei, found in their bibliographies · page 1 of 14; the most cited first."
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---
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# Who cites Dario Amodei

4 503 citations of their works from 3 856 papers of our library (of the 140 884 whose bibliographies we read) · 347 with a page here, the most cited first · page 1 of 14 · [← Dario Amodei](https://md.research.elamur.ai/free/en/authors/dario-amodei/)

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- [GPT-4 Technical Report](https://md.research.elamur.ai/free/en/papers/openai-2023-gpt-4-technical-report/) — OpenAI, Josh Achiam, Steven Adler, et al. · 2023 · 12 694 citations
- [Chain-of-Thought Prompting Elicits Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2022-chain-thought-prompting-elicits-reasoning/) — Jason Wei, Xuezhi Wang, Dale Schuurmans, et al. · 2022 · 11 278 citations
- [Language Models are Few-Shot Learners](https://md.research.elamur.ai/free/en/papers/brown-2020-language-models-few-shot-learners/) — Tom B. Brown, Benjamin Mann, Nick Ryder, et al. · 2020 · 10 782 citations
- [Learning Transferable Visual Models From Natural Language Supervision](https://md.research.elamur.ai/free/en/papers/radford-2021-learning-transferable-visual-models-natural/) — Alec Radford, Jong Wook Kim, Chris Hallacy, et al. · 2021 · 8 295 citations
- [Survey of Hallucination in Natural Language Generation](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/) — Ziwei Ji, Nayeon Lee, Rita Frieske, et al. · 2022 · 5 947 citations
- [Training language models to follow instructions with human feedback](https://md.research.elamur.ai/free/en/papers/ouyang-2022-training-language-models-follow-instructions/) — Long Ouyang, Jeff Wu, Xu Jiang, et al. · 2022 · 5 770 citations
- [LLaMA: Open and Efficient Foundation Language Models](https://md.research.elamur.ai/free/en/papers/touvron-2023-llama-open-efficient-foundation-language/) — Hugo Touvron, Thibaut Lavril, Gautier Izacard, et al. · 2023 · 5 609 citations
- [mixup: Beyond Empirical Risk Minimization](https://md.research.elamur.ai/free/en/papers/zhang-2017-mixup-empirical-risk-minimization/) — Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, et al. · 2017 · 4 803 citations
- [DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/deepseek-2025-ai-deepseek-r1-incentivizing-reasoning-capability/) — DeepSeek-AI, Daya Guo, Dejian Yang, et al. · 2025 · 4 593 citations
- [Training Verifiers to Solve Math Word Problems](https://md.research.elamur.ai/free/en/papers/cobbe-2021-training-verifiers-solve-math-word/) — Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, et al. · 2021 · 3 675 citations
- [Measuring Massive Multitask Language Understanding](https://md.research.elamur.ai/free/en/papers/hendrycks-2020-measuring-massive-multitask-language-understanding/) — Dan Hendrycks, Collin Burns, Steven Basart, et al. · 2020 · 3 489 citations
- [A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions](https://md.research.elamur.ai/free/en/papers/huang-2023-survey-hallucination-large-language-models/) — Lei Huang, Weijiang Yu, Weitao Ma, et al. · 2023 · 3 221 citations
- [Towards A Rigorous Science of Interpretable Machine Learning](https://md.research.elamur.ai/free/en/papers/doshi-2017-velez-towards-rigorous-science-interpretable-machine/) — Finale Doshi-Velez, Been Kim · 2017 · 3 202 citations
- [On the Opportunities and Risks of Foundation Models](https://md.research.elamur.ai/free/en/papers/bommasani-2021-opportunities-risks-foundation-models/) — Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al. · 2021 · 3 044 citations
- [Gemini: A Family of Highly Capable Multimodal Models](https://md.research.elamur.ai/free/en/papers/gemini-2023-team-gemini-family-highly-capable-multimodal/) — Gemini Team, Rohan Anil, Sebastian Borgeaud, et al. · 2023 · 2 951 citations
- [A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) — Wayne Xin Zhao, Kun Zhou, Junyi Li, et al. · 2023 · 2 847 citations
- [PaLM: Scaling Language Modeling with Pathways](https://md.research.elamur.ai/free/en/papers/chowdhery-2022-palm-scaling-language-modeling-pathways/) — Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, et al. · 2022 · 2 603 citations
- [Evaluating Large Language Models Trained on Code](https://md.research.elamur.ai/free/en/papers/chen-2021-evaluating-large-language-models-trained/) — Mark Chen, Jerry Tworek, Heewoo Jun, et al. · 2021 · 2 529 citations
- [Robust Speech Recognition via Large-Scale Weak Supervision](https://md.research.elamur.ai/free/en/papers/radford-2022-robust-speech-recognition-large-scale/) — Alec Radford, Jong Wook Kim, Tao Xu, et al. · 2022 · 2 497 citations
- [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://md.research.elamur.ai/free/en/papers/rafailov-2023-direct-preference-optimization-language-model/) — Rafael Rafailov, Archit Sharma, Eric Mitchell, et al. · 2023 · 2 478 citations
- [Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding](https://md.research.elamur.ai/free/en/papers/saharia-2022-photorealistic-text-image-diffusion-models/) — Chitwan Saharia, William Chan, Saurabh Saxena, et al. · 2022 · 2 416 citations
- [Measuring Mathematical Problem Solving With the MATH Dataset](https://md.research.elamur.ai/free/en/papers/hendrycks-2021-measuring-mathematical-problem-solving-math/) — Dan Hendrycks, Collin Burns, Saurav Kadavath, et al. · 2021 · 2 318 citations
- [Emergent Abilities of Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2022-emergent-abilities-large-language-models/) — Jason Wei, Yi Tay, Rishi Bommasani, et al. · 2022 · 2 215 citations
- [Scaling Instruction-Finetuned Language Models](https://md.research.elamur.ai/free/en/papers/chung-2022-scaling-instruction-finetuned-language-models/) — Hyung Won Chung, Le Hou, Shayne Longpre, et al. · 2022 · 2 176 citations
- [Flamingo: a Visual Language Model for Few-Shot Learning](https://md.research.elamur.ai/free/en/papers/alayrac-2022-flamingo-visual-language-model-few/) — Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al. · 2022 · 2 108 citations

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