---
title: "Who cites ReZero is All You Need: Fast — 33 citing papers"
description: "33 papers of the Elamur Research library cite «ReZero is All You Need: Fast Convergence at Large Depth», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/bachlechner-2020-rezero-all-need-fast-convergence/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [ReZero is All You Need: Fast Convergence at Large…](https://md.research.elamur.ai/free/en/papers/bachlechner-2020-rezero-all-need-fast-convergence/) / cited by

# Who cites «ReZero is All You Need: Fast Convergence at Large Depth»

33 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «ReZero is All You Need: Fast Convergence at Large Depth»](https://md.research.elamur.ai/free/en/papers/bachlechner-2020-rezero-all-need-fast-convergence/)

1. [**Flamingo: a Visual Language Model for Few-Shot Learning arXiv:2204.14198**Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.*2022 · 2,246 citations*](https://md.research.elamur.ai/free/en/papers/alayrac-2022-flamingo-visual-language-model-few/)
2. **[Understanding the Difficulty of Training Transformers](https://md.research.elamur.ai/free/en/papers/liu-2020-understanding-difficulty-training-transformers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Liyuan Liu, Xiaodong Liu, Jianfeng Gao, et al.*2020 · 231 citations*
3. **[Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs](https://md.research.elamur.ai/free/en/papers/chen-2021-structure-aware-abstractive-conversation-summarization/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jiaao Chen, Diyi Yang*2021 · 135 citations*
4. [**Efficient Large Language Models: A Survey arXiv:2312.03863**Zhongwei Wan, Xin Wang, Che Liu, et al.*2023 · 110 citations*](https://md.research.elamur.ai/free/en/papers/wan-2023-efficient-large-language-models-survey/)
5. [**Self-Supervised Bug Detection and Repair arXiv:2105.12787**Miltiadis Allamanis, Henry Jackson-Flux, Marc Brockschmidt*2021 · 50 citations*](https://md.research.elamur.ai/free/en/papers/allamanis-2021-self-supervised-bug-detection-repair/)
6. [**No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models arXiv:2307.06440**Jean Kaddour, Oscar Key, Piotr Nawrot, et al.*2023 · 30 citations*](https://md.research.elamur.ai/free/en/papers/kaddour-2023-no-train-no-gain-revisiting/)

27 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/bachlechner-2020-rezero-all-need-fast-convergence/) — ReZero is All You Need: Fast Convergence at Large Depth