---
title: "Samuel R. Bowman — papers of 2022 — Elamur Research"
description: "Samuel R. Bowman — papers of 2022: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Samuel R. Bowman — papers of 2022 — Elamur Research

5 papers · [all years of Samuel R. Bowman](https://md.research.elamur.ai/free/en/authors/samuel-r-bowman/#years)

**[BBQ: A hand-built bias benchmark for question answering](https://md.research.elamur.ai/free/en/papers/parrish-2022-bbq-hand-built-bias-benchmark/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Alicia Parrish, Angelica Chen, Nikita Nangia, et al.*2022 · 497 citations*

- [Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned arXiv:2209.07858](https://md.research.elamur.ai/free/en/papers/ganguli-2022-red-teaming-language-models-reduce/) — Deep Ganguli, Liane Lovitt, Jackson Kernion, et al. · 2022 · 485 citations
- [What Artificial Neural Networks Can Tell Us About Human Language Acquisition arXiv:2208.07998](https://md.research.elamur.ai/free/en/papers/warstadt-2022-artificial-neural-networks-tell-us/) — Alex Warstadt, Samuel R. Bowman · 2022 · 177 citations

**[QuALITY: Question Answering with Long Input Texts, Yes!](https://md.research.elamur.ai/free/en/papers/pang-2022-quality-question-answering-long-input/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, et al.*2022 · 167 citations*

- [Measuring Progress on Scalable Oversight for Large Language Models arXiv:2211.03540](https://md.research.elamur.ai/free/en/papers/bowman-2022-measuring-progress-scalable-oversight-large/) — Samuel R. Bowman, Jeeyoon Hyun, Ethan Perez, et al. · 2022 · 117 citations