--- title: "Amanda Askell — papers" description: "Amanda Askell: 7 papers in the Elamur Research library (2019–2023) — our summary of each, its ideas, references and who cites it." canonical: "https://research.elamur.ai/free/en/authors/amanda-askell/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/amanda-askell/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Amanda Askell # Amanda Askell 7 papers on this site (2019–2023) [OpenAlex](https://openalex.org/A5030305998) · h-index 23 · 33 works · 16716 citations (openalex-snapshot, 2026-10-14) Profile data from OpenAlex; authors with the same name are not always told apart. - [The Capacity for Moral Self-Correction in Large Language Models](https://md.research.elamur.ai/free/en/papers/ganguli-2023-capacity-moral-self-correction-large/) — Deep Ganguli, Amanda Askell, Nicholas Schiefer, et al. · 2023 - [Towards Measuring the Representation of Subjective Global Opinions in Language Models](https://md.research.elamur.ai/free/en/papers/durmus-2023-towards-measuring-representation-subjective-global/) — Esin Durmus, Karina Nguyen, Thomas I. Liao, et al. · 2023 - [Towards Understanding Sycophancy in Language Models](https://md.research.elamur.ai/free/en/papers/sharma-2023-towards-understanding-sycophancy-language-models/) — Mrinank Sharma, Meg Tong, Tomasz Korbak, et al. · 2023 - [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 - [Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned](https://md.research.elamur.ai/free/en/papers/ganguli-2022-red-teaming-language-models-reduce/) — Deep Ganguli, Liane Lovitt, Jackson Kernion, et al. · 2022 - [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 - [Release Strategies and the Social Impacts of Language Models](https://md.research.elamur.ai/free/en/papers/solaiman-2019-release-strategies-social-impacts-language/) — Irene Solaiman, Miles Brundage, Jack Clark, et al. · 2019