---
title: "Who cites As Good as New. How to — 47 citing papers"
description: "47 papers of the Elamur Research library cite «As Good as New. Among them: Revisiting the Uniform Information Density Hypothesis…"
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# Who cites «As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages»

47 papers of our library cite it (of the 141,840 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages»](https://md.research.elamur.ai/free/en/papers/vries-2021-as-good-as-new-how/)

1. **[Revisiting the Uniform Information Density Hypothesis](https://md.research.elamur.ai/free/en/papers/meister-2021-revisiting-uniform-information-density-hypothesis/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Clara Meister, Tiago Pimentel, Patrick Haller, et al.*2021 · 123 citations*
2. **[WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models](https://md.research.elamur.ai/free/en/papers/minixhofer-2022-wechsel-effective-initialization-subword-embeddings/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz*2022 · 90 citations*
3. **[FOCUS: Effective Embedding Initialization for Monolingual Specialization of Multilingual Models](https://md.research.elamur.ai/free/en/papers/dobler-2023-focus-effective-embedding-initialization-monolingual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Konstantin Dobler, Gerard de Melo*2023 · 61 citations*
4. [**Bilingual Adaptation of Monolingual Foundation Models arXiv:2407.12869**Gurpreet Gosal, Yishi Xu, Gokul Ramakrishnan, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/gosal-2024-bilingual-adaptation-monolingual-foundation-models/)
5. **[A Corpus of Joint EEG and Self-Paced Reading of Natural Dutch Texts](https://md.research.elamur.ai/free/en/papers/ostergaard-2026-corpus-joint-eeg-self-paced/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sara Møller Østergaard, Lenneke Doris Lichtenberg, Laura Boon, et al.*2026 · 1 citation*
6. **[LGSE: Lexically Grounded Subword Embedding Initialization for Low-Resource Language Adaptation](https://md.research.elamur.ai/free/en/papers/teklehaymanot-2026-lgse-lexically-grounded-subword-embedding/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Hailay Kidu Teklehaymanot, Dren Fazlija, Wolfgang Nejdl*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/vries-2021-as-good-as-new-how/) — As Good as New. How to Successfully Recycle English GPT-2 to Make Models for Other Languages