--- title: "Who cites Rishi Bommasani — page 2" description: "2113 papers of the Elamur Research library cite the works of Rishi Bommasani, found in their bibliographies · page 2 of 8; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/2/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/2/) [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](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/) / page 2 # 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 2 of 8 · [← Rishi Bommasani](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/) [← prev](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/) **2** [3](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/3/) … [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/3/) - [Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them](https://md.research.elamur.ai/free/en/papers/suzgun-2023-challenging-big-bench-tasks-whether/) — Mirac Suzgun, Nathan Scales, Nathanael Schärli, et al. · 2023 · 1 094 citations - [Bias and Fairness in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/gallegos-2023-bias-fairness-large-language-models/) — Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al. · 2023 · 1 072 citations - [A Survey on In-context Learning](https://md.research.elamur.ai/free/en/papers/dong-2023-survey-context-learning/) — Qingxiu Dong, Lei Li, Damai Dai, et al. · 2023 · 954 citations - [A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT](https://md.research.elamur.ai/free/en/papers/white-2023-prompt-pattern-catalog-enhance-prompt/) — Jules White, Quchen Fu, Sam Hays, et al. · 2023 · 899 citations - [Do As I Can, Not As I Say: Grounding Language in Robotic Affordances](https://md.research.elamur.ai/free/en/papers/ahn-2022-i-i-say-grounding-language/) — Michael Ahn, Anthony Brohan, Noah Brown, et al. · 2022 · 873 citations - [A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity](https://md.research.elamur.ai/free/en/papers/bang-2023-multitask-multilingual-multimodal-evaluation-chatgpt/) — Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al. · 2023 · 866 citations - [Segment Anything](https://md.research.elamur.ai/free/en/papers/kirillov-2023-segment-anything/) — Alexander Kirillov, Eric Mintun, Nikhila Ravi, et al. · 2023 · 865 citations - [Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond](https://md.research.elamur.ai/free/en/papers/yang-2023-harnessing-power-llms-practice-survey/) — Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al. · 2023 · 806 citations - [Can Large Language Models Transform Computational Social Science?](https://md.research.elamur.ai/free/en/papers/ziems-2023-large-language-models-transform-computational/) — Caleb Ziems, William Held, Omar Shaikh, et al. · 2023 · 776 citations - [Towards Reasoning in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/huang-2023-reasoning-large-language-models-survey/) — Jie Huang, Kevin Chen-Chuan Chang · 2023 · 775 citations - [GLM-130B: An Open Bilingual Pre-trained Model](https://md.research.elamur.ai/free/en/papers/zeng-2022-glm-130b-open-bilingual-pre/) — Aohan Zeng, Xiao Liu, Zhengxiao Du, et al. · 2022 · 775 citations - [HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face](https://md.research.elamur.ai/free/en/papers/shen-2023-hugginggpt-solving-ai-tasks-chatgpt/) — Yongliang Shen, Kaitao Song, Xu Tan, et al. · 2023 · 737 citations - [Capabilities of GPT-4 on Medical Challenge Problems](https://md.research.elamur.ai/free/en/papers/nori-2023-capabilities-gpt-4-medical-challenge/) — Harsha Nori, Nicholas King, Scott Mayer McKinney, et al. · 2023 · 700 citations - [Crosslingual Generalization through Multitask Finetuning](https://md.research.elamur.ai/free/en/papers/muennighoff-2022-crosslingual-generalization-through-multitask-finetuning/) — Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al. · 2022 · 692 citations - [CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society](https://md.research.elamur.ai/free/en/papers/li-2023-camel-communicative-agents-mind/) — Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al. · 2023 · 689 citations - [Large Language Models Are Human-Level Prompt Engineers](https://md.research.elamur.ai/free/en/papers/zhou-2022-large-language-models-human-level/) — Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, et al. · 2022 · 677 citations - [Red Teaming Language Models with Language Models](https://md.research.elamur.ai/free/en/papers/perez-2022-red-teaming-language-models-language/) — Ethan Perez, Saffron Huang, Francis Song, et al. · 2022 · 665 citations - [Jailbroken: How Does LLM Safety Training Fail?](https://md.research.elamur.ai/free/en/papers/wei-2023-jailbroken-llm-safety-training-fail/) — Alexander Wei, Nika Haghtalab, Jacob Steinhardt · 2023 · 659 citations - [CoCa: Contrastive Captioners are Image-Text Foundation Models](https://md.research.elamur.ai/free/en/papers/yu-2022-coca-contrastive-captioners-image-text/) — Jiahui Yu, Zirui Wang, Vijay Vasudevan, et al. · 2022 · 646 citations - [BloombergGPT: A Large Language Model for Finance](https://md.research.elamur.ai/free/en/papers/wu-2023-bloomberggpt-large-language-model-finance/) — Shijie Wu, Ozan Irsoy, Steven Lu, et al. · 2023 · 608 citations - [Role-Play with Large Language Models](https://md.research.elamur.ai/free/en/papers/shanahan-2023-role-play-large-language-models/) — Murray Shanahan, Kyle McDonell, Laria Reynolds · 2023 · 606 citations - [Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model](https://md.research.elamur.ai/free/en/papers/smith-2022-using-deepspeed-megatron-train-megatron/) — Shaden Smith, Mostofa Patwary, Brandon Norick, et al. · 2022 · 595 citations - [The Flan Collection: Designing Data and Methods for Effective Instruction Tuning](https://md.research.elamur.ai/free/en/papers/longpre-2023-flan-collection-designing-data-methods/) — Shayne Longpre, Le Hou, Tu Vu, et al. · 2023 · 590 citations - [Large Language Models Can Self-Improve](https://md.research.elamur.ai/free/en/papers/huang-2023-large-language-models-can-self/) — Jiaxin Huang, Shixiang Gu, Le Hou, et al. · 2023 · 560 citations - [Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis](https://md.research.elamur.ai/free/en/papers/zhu-2024-multilingual-machine-translation-large-language/) — Wenhao Zhu, Hongyi Liu, Qingxiu Dong, et al. · 2024 · 503 citations [← prev](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/) **2** [3](https://md.research.elamur.ai/free/en/authors/rishi-bommasani/cited-by/page/3/) … [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/3/)