---
title: "Omer Levy — papers of 2023 — 5 papers, the most cited first"
description: "Omer Levy — papers of 2023: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Omer Levy — papers of 2023 — 5 papers, the most cited first

5 papers · [all years of Omer Levy](https://md.research.elamur.ai/free/en/authors/omer-levy/#years)

**[Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor](https://md.research.elamur.ai/free/en/papers/honovich-2023-unnatural-instructions-tuning-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Or Honovich, Thomas Scialom, Omer Levy, et al.*2023 · 366 citations*

- [Self-Alignment with Instruction Backtranslation arXiv:2308.06259](https://md.research.elamur.ai/free/en/papers/li-2023-self-alignment-instruction-backtranslation/) — Xian Li, Ping Yu, Chunting Zhou, et al. · 2023 · 139 citations

**[ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding](https://md.research.elamur.ai/free/en/papers/shaham-2023-zeroscrolls-zero-shot-benchmark-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Uri Shaham, Maor Ivgi, Avia Efrat, et al.*2023 · 132 citations*

- [Branch-Solve-Merge Improves Large Language Model Evaluation and Generation arXiv:2310.15123](https://md.research.elamur.ai/free/en/papers/saha-2023-branch-solve-merge-improves-large/) — Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al. · 2023 · 68 citations
- [Scaling Laws for Generative Mixed-Modal Language Models arXiv:2301.03728](https://md.research.elamur.ai/free/en/papers/aghajanyan-2023-scaling-laws-generative-mixed-modal/) — Armen Aghajanyan, Lili Yu, Alexis Conneau, et al. · 2023 · 45 citations
