---
title: "Amanda Askell — papers of 2023 — 3 papers, the most cited first"
description: "Amanda Askell — papers of 2023: 3 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/amanda-askell/year/2023/"
---
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# Amanda Askell — papers of 2023 — 3 papers, the most cited first

3 papers · [all years of Amanda Askell](https://md.research.elamur.ai/free/en/authors/amanda-askell/#years)

- [Towards Understanding Sycophancy in Language Models arXiv:2310.13548](https://md.research.elamur.ai/free/en/papers/sharma-2023-towards-understanding-sycophancy-language-models/) — Mrinank Sharma, Meg Tong, Tomasz Korbak, et al. · 2023 · 384 citations
- [Towards Measuring the Representation of Subjective Global Opinions in Language Models arXiv:2306.16388](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 · 270 citations
- [The Capacity for Moral Self-Correction in Large Language Models arXiv:2302.07459](https://md.research.elamur.ai/free/en/papers/ganguli-2023-capacity-moral-self-correction-large/) — Deep Ganguli, Amanda Askell, Nicholas Schiefer, et al. · 2023 · 173 citations