---
title: "Eric Wallace — papers of 2022 — 3 papers, the most cited first"
description: "Eric Wallace — papers of 2022: 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/eric-wallace/year/2022/"
---
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# Eric Wallace — papers of 2022 — 3 papers, the most cited first

3 papers · [all years of Eric Wallace](https://md.research.elamur.ai/free/en/authors/eric-wallace/#years)

- [Large Language Models Struggle to Learn Long-Tail Knowledge arXiv:2211.08411](https://md.research.elamur.ai/free/en/papers/kandpal-2022-large-language-models-struggle-learn/) — Nikhil Kandpal, Haikang Deng, Adam Roberts, et al. · 2022 · 366 citations

**[Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models](https://md.research.elamur.ai/free/en/papers/iv-2022-cutting-down-prompts-parameters-simple/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Robert Logan IV, Ivana Balazevic, Eric Wallace, et al.*2022 · 216 citations*

- [Deduplicating Training Data Mitigates Privacy Risks in Language Models arXiv:2202.06539](https://md.research.elamur.ai/free/en/papers/kandpal-2022-deduplicating-training-data-mitigates-privacy/) — Nikhil Kandpal, Eric Wallace, Colin Raffel · 2022 · 172 citations