---
title: "Alexander Ratner — papers of 2023"
description: "Alexander Ratner — 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/alexander-ratner/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/alexander-ratner/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Alexander Ratner](https://md.research.elamur.ai/free/en/authors/alexander-ratner/) / 2023

# Alexander Ratner — papers of 2023

2 papers · [all years of Alexander Ratner](https://md.research.elamur.ai/free/en/authors/alexander-ratner/#years)

- [Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes](https://md.research.elamur.ai/free/en/papers/hsieh-2023-distilling-step-step-outperforming-larger/) — Cheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al. · Findings of the Association for Computational… · 684 citations
- [Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias](https://md.research.elamur.ai/free/en/papers/yu-2023-large-language-model-attributed-training/) — Yue Yu, Yuchen Zhuang, Jieyu Zhang, et al. · arXiv:2306.15895 · NeurIPS 2023 · 198 citations
