---
title: "Who cites Sumanth Dathathri"
description: "712 papers of the Elamur Research library cite the works of Sumanth Dathathri, found in their bibliographies · page 1 of 4; the most cited first."
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---
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# Who cites Sumanth Dathathri

749 citations of their works from 712 papers of our library (of the 140 884 whose bibliographies we read) · 99 with a page here, the most cited first · page 1 of 4 · [← Sumanth Dathathri](https://md.research.elamur.ai/free/en/authors/sumanth-dathathri/)

**1** [2](https://md.research.elamur.ai/free/en/authors/sumanth-dathathri/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/sumanth-dathathri/cited-by/page/3/) [4](https://md.research.elamur.ai/free/en/authors/sumanth-dathathri/cited-by/page/4/) [next →](https://md.research.elamur.ai/free/en/authors/sumanth-dathathri/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
- [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
- [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
- [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
- [ReAct: Synergizing Reasoning and Acting in Language Models](https://md.research.elamur.ai/free/en/papers/yao-2022-react-synergizing-reasoning-acting-language/) — Shunyu Yao, Jeffrey Zhao, Dian Yu, et al. · 2022 · 2 493 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
- [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
- [RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models](https://md.research.elamur.ai/free/en/papers/gehman-2020-realtoxicityprompts-evaluating-neural-toxic-degeneration/) — Samuel Gehman, Suchin Gururangan, Maarten Sap, et al. · 2020 · 1 277 citations
- [Training Compute-Optimal Large Language Models](https://md.research.elamur.ai/free/en/papers/hoffmann-2022-training-compute-optimal-large-language/) — Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, et al. · 2022 · 1 110 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
- [PaLM 2 Technical Report](https://md.research.elamur.ai/free/en/papers/anil-2023-palm-2-technical-report/) — Rohan Anil, Andrew M. Dai, Orhan Firat, et al. · 2023 · 971 citations
- [Constitutional AI: Harmlessness from AI Feedback](https://md.research.elamur.ai/free/en/papers/bai-2022-constitutional-ai-harmlessness-ai-feedback/) — Yuntao Bai, Saurav Kadavath, Sandipan Kundu, et al. · 2022 · 957 citations
- [Universal and Transferable Adversarial Attacks on Aligned Language Models](https://md.research.elamur.ai/free/en/papers/zou-2023-universal-transferable-adversarial-attacks-aligned/) — Andy Zou, Zifan Wang, Nicholas Carlini, et al. · 2023 · 951 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
- [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
- [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
- [Jailbreaking Black Box Large Language Models in Twenty Queries](https://md.research.elamur.ai/free/en/papers/chao-2023-jailbreaking-black-box-large-language/) — Patrick Chao, Alexander Robey, Edgar Dobriban, et al. · 2023 · 533 citations
- [OpenAssistant Conversations -- Democratizing Large Language Model Alignment](https://md.research.elamur.ai/free/en/papers/kopf-2023-openassistant-conversations-democratizing-large-language/) — Andreas Köpf, Yannic Kilcher, Dimitri von Rütte, et al. · 2023 · 505 citations
- [GLaM: Efficient Scaling of Language Models with Mixture-of-Experts](https://md.research.elamur.ai/free/en/papers/du-2021-glam-efficient-scaling-language-models/) — Nan Du, Yanping Huang, Andrew M. Dai, et al. · 2021 · 474 citations

**1** [2](https://md.research.elamur.ai/free/en/authors/sumanth-dathathri/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/sumanth-dathathri/cited-by/page/3/) [4](https://md.research.elamur.ai/free/en/authors/sumanth-dathathri/cited-by/page/4/) [next →](https://md.research.elamur.ai/free/en/authors/sumanth-dathathri/cited-by/page/2/)
