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Naman Goyal — all works

27 works · ← Naman Goyal

  1. RoBERTa: A Robustly Optimized BERT Pretraining ApproacharXiv:1907.11692Yinhan Liu, Myle Ott, Naman Goyal, et al.2019 · 9,837 citations
  2. LLaMA: Open and Efficient Foundation Language ModelsarXiv:2302.13971Hugo Touvron, Thibaut Lavril, Gautier Izacard, et al.2023 · 9,603 citations
  3. Unsupervised Cross-lingual Representation Learning at Scale ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetAlexis Conneau et al.2020 · 9,468 citations
  4. Retrieval-Augmented Generation for Knowledge-Intensive NLP TasksarXiv:2005.11401Patrick Lewis, Ethan Perez, Aleksandra Piktus, et al.2020 · 6,256 citations
  5. Multilingual Denoising Pre-training for Neural Machine Translation ↗Transactions of the Association for Computational Linguistics · no summary yetYinhan Liu et al.2020 · 2,616 citations
  6. OPT: Open Pre-trained Transformer Language ModelsarXiv:2205.01068Susan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,755 citations
  7. XLS-R: Self-supervised Cross-lingual Speech Representation Learning at ScaleInterspeechArun Babu, Changhan Wang, Andros Tjandra, et al.2021 · 807 citations
  8. The Flores-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation ↗Transactions of the Association for Computational Linguistics · no summary yetNaman Goyal et al.2022 · 770 citations
  9. Few-shot Learning with Multilingual Language ModelsarXiv:2112.10668Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 500 citations
  10. BASE Layers: Simplifying Training of Large, Sparse Models ↗arXiv:2103.16716 · no summary yetMike Lewis et al.2021 · 177 citations
  11. Multilingual Autoregressive Entity Linking ↗Transactions of the Association for Computational Linguistics · no summary yetNicola De Cao et al.2022 · 153 citations
  12. Few-shot Learning with Multilingual Generative Language Models ↗Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing · no summary yetXi Victoria Lin et al.2022 · 133 citations
  13. Efficient Large Scale Language Modeling with Mixtures of Experts ↗arXiv:2112.10684 · no summary yetMikel Artetxe et al.2021 · 113 citations
  14. Better Fine-Tuning by Reducing Representational Collapse ↗arXiv (Cornell University) · no summary yetArmen Aghajanyan et al.2020 · 109 citations
  15. CM3: A Causal Masked Multimodal Model of the Internet ↗arXiv (Cornell University) · no summary yetArmen Aghajanyan et al.2022 · 104 citations
  16. Scaling Laws for Generative Mixed-Modal Language ModelsarXiv:2301.03728Armen Aghajanyan, Lili Yu, Alexis Conneau, et al.2023 · 45 citations
  17. How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? ↗Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track) · no summary yetShiyue Zhang et al.2022 · 25 citations
  18. On the Role of Bidirectionality in Language Model Pre-Training ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetMikel Artetxe et al.2022 · 17 citations
  19. A Theory on Adam Instability in Large-Scale Machine Learning ↗arXiv:2304.09871 · no summary yetIgor Molybog et al.2023 · 15 citations

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