---
title: "Leo Gao — papers of 2022 — 2 papers, the most cited first"
description: "Leo Gao — papers of 2022: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Leo Gao — papers of 2022 — 2 papers, the most cited first

2 papers · [all years of Leo Gao](https://md.research.elamur.ai/free/en/authors/leo-gao/#years)

**[GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://md.research.elamur.ai/free/en/papers/black-2022-gpt-neox-20b-open-source/) [BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models](https://md.research.elamur.ai/free/en/venues/bigscience/)**Sidney Black, Stella Biderman, Eric Hallahan, et al.*2022 · 831 citations*

- [Scaling Laws for Reward Model Overoptimization arXiv:2210.10760](https://md.research.elamur.ai/free/en/papers/gao-2022-scaling-laws-reward-model-overoptimization/) — Leo Gao, John Schulman, Jacob Hilton · 2022 · 323 citations