--- title: "Who cites Rishi Bommasani" description: "2113 papers of the Elamur Research library cite the works of Rishi Bommasani, found in their bibliographies · page 1 of 8; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Rishi Bommasani](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/) / cited by # Who cites Rishi Bommasani 2 198 citations of their works from 2 113 papers of our library (of the 140 884 whose bibliographies we read) · 196 with a page here, the most cited first · page 1 of 8 · [← Rishi Bommasani](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/) **1** [2](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/2/) … [8](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/8/) [next →](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/2/) - [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 - [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 - [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 - [Large Language Models Encode Clinical Knowledge](https://md.research.elamur.ai/free/en/papers/singhal-2022-large-language-models-encode-clinical/) — Karan Singhal, Shekoofeh Azizi, Tao Tu, et al. · 2022 · 4 464 citations - [A Survey on Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/) — Yupeng Chang, Xu Wang, Jindong Wang, et al. · 2023 · 3 640 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 - [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 - [Sparks of Artificial General Intelligence: Early experiments with GPT-4](https://md.research.elamur.ai/free/en/papers/bubeck-2023-sparks-artificial-general-intelligence-early/) — Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, et al. · 2023 · 2 389 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 - [TruthfulQA: Measuring How Models Mimic Human Falsehoods](https://md.research.elamur.ai/free/en/papers/lin-2022-truthfulqa-measuring-how-models-mimic/) — Stephanie Lin, Jacob Hilton, Owain Evans · 2022 · 2 047 citations - [Toolformer: Language Models Can Teach Themselves to Use Tools](https://md.research.elamur.ai/free/en/papers/schick-2023-toolformer-language-models-can-teach/) — Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, et al. · 2023 · 2 020 citations - [OPT: Open Pre-trained Transformer Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2022-opt-open-pre-trained-transformer/) — Susan Zhang, Stephen Roller, Naman Goyal, et al. · 2022 · 1 709 citations - [Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/) — Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al. · 2022 · 1 695 citations - [Qwen Technical Report](https://md.research.elamur.ai/free/en/papers/bai-2023-qwen-technical-report/) — Jinze Bai, Shuai Bai, Yunfei Chu, et al. · 2023 · 1 643 citations - [Multitask Prompted Training Enables Zero-Shot Task Generalization](https://md.research.elamur.ai/free/en/papers/sanh-2021-multitask-prompted-training-enables-zero/) — Victor Sanh, Albert Webson, Colin Raffel, et al. · 2021 · 1 577 citations - [Unifying Large Language Models and Knowledge Graphs: A Roadmap](https://md.research.elamur.ai/free/en/papers/pan-2023-unifying-large-language-models-knowledge/) — Shirui Pan, Linhao Luo, Yufei Wang, et al. · 2023 · 1 545 citations - [DINOv2: Learning Robust Visual Features without Supervision](https://md.research.elamur.ai/free/en/papers/oquab-2023-dinov2-learning-robust-visual-features/) — Maxime Oquab, Timothee Darcet, Theo Moutakanni, et al. · 2023 · 1 425 citations - [A Comprehensive Overview of Large Language Models](https://md.research.elamur.ai/free/en/papers/naveed-2023-comprehensive-overview-large-language-models/) — Humza Naveed, Asad Ullah Khan, Shi Qiu, et al. · 2023 · 1 286 citations - [The Rise and Potential of Large Language Model Based Agents: A Survey](https://md.research.elamur.ai/free/en/papers/xi-2023-rise-potential-large-language/) — Zhiheng Xi, Wenxiang Chen, Xin Guo, et al. · 2023 · 1 262 citations - [MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2023-minigpt-4-enhancing-vision-language/) — Deyao Zhu, Jun Chen, Xiaoqian Shen, et al. · 2023 · 1 105 citations **1** [2](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/2/) … [8](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/8/) [next →](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/2/)