---
title: "Naman Goyal — papers of 2023 — 4 papers, the most cited first"
description: "Naman Goyal — papers of 2023: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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---
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# Naman Goyal — papers of 2023 — 4 papers, the most cited first

4 papers · [all years of Naman Goyal](https://md.research.elamur.ai/free/en/authors/naman-goyal/#years)

- [LLaMA: Open and Efficient Foundation Language Models arXiv:2302.13971](https://md.research.elamur.ai/free/en/papers/touvron-2023-llama-open-efficient-foundation-language/) — Hugo Touvron, Thibaut Lavril, Gautier Izacard, et al. · 2023 · 9,603 citations

**[The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants](https://md.research.elamur.ai/free/en/papers/bandarkar-2023-belebele-benchmark-parallel-reading-comprehension/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lucas Bandarkar, Davis Liang, Benjamin Muller, et al.*2023 · 262 citations*

**[XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models](https://md.research.elamur.ai/free/en/papers/liang-2023-xlm-v-overcoming-vocabulary-bottleneck/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Davis Liang, Hila Gonen, Yuning Mao, et al.*2023 · 120 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
