---
title: "Noam Wies — papers of 2023 — 2 papers, the most cited first"
description: "Noam Wies — papers of 2023: 2 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/noam-wies/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/noam-wies/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Noam Wies](https://md.research.elamur.ai/free/en/authors/noam-wies/) / 2023

# Noam Wies — papers of 2023 — 2 papers, the most cited first

2 papers · [all years of Noam Wies](https://md.research.elamur.ai/free/en/authors/noam-wies/#years)

- [Fundamental Limitations of Alignment in Large Language Models arXiv:2304.11082](https://md.research.elamur.ai/free/en/papers/wolf-2023-fundamental-limitations-alignment-large-language/) — Yotam Wolf, Noam Wies, Oshri Avnery, et al. · 2023 · 114 citations

**[The Learnability of In-Context Learning](https://md.research.elamur.ai/free/en/papers/wies-2023-learnability-context-learning/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Noam Wies, Yoav Levine, Amnon Shashua*2023 · 53 citations*