---
title: "Who cites XLM-E: Cross-lingual Language — 55 citing papers"
description: "55 papers of the Elamur Research library cite «XLM-E: Cross-lingual Language Model Pre-training via ELECTRA», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/chi-2022-xlm-e-cross-lingual-language/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/chi-2022-xlm-e-cross-lingual-language/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [XLM-E: Cross-lingual Language Model Pre-training…](https://md.research.elamur.ai/free/en/papers/chi-2022-xlm-e-cross-lingual-language/) / cited by

# Who cites «XLM-E: Cross-lingual Language Model Pre-training via ELECTRA»

55 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «XLM-E: Cross-lingual Language Model Pre-training via ELECTRA»](https://md.research.elamur.ai/free/en/papers/chi-2022-xlm-e-cross-lingual-language/)

1. **[Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing](https://md.research.elamur.ai/free/en/papers/liu-2021-pre-train-prompt-predict-systematic/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al.*2021 · 5,396 citations*
2. [**DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing arXiv:2111.09543**Pengcheng He, Jianfeng Gao, Weizhu Chen*2021 · 1,316 citations*](https://md.research.elamur.ai/free/en/papers/he-2021-debertav3-improving-deberta-using-electra/)
3. [**Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond arXiv:2304.13712**Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al.*2023 · 811 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-harnessing-power-llms-practice-survey/)
4. [**Continual Pre-Training for Cross-Lingual LLM Adaptation: Enhancing Japanese Language Capabilities arXiv:2404.17790**Kazuki Fujii, Taishi Nakamura, Mengsay Loem, et al.*2024 · 114 citations*](https://md.research.elamur.ai/free/en/papers/fujii-2024-continual-pre-training-cross-lingual/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/chi-2022-xlm-e-cross-lingual-language/) — XLM-E: Cross-lingual Language Model Pre-training via ELECTRA