---
title: "Who cites Counting the Bugs in ChatGPT's Wugs: A…"
description: "35 papers of the Elamur Research library cite «Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a…"
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---
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# Who cites «Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model»

35 papers of our library cite it (of the 140,884 whose bibliographies we read) · 7 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-chatgpt-wugs-morphology/)

1. [**Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMs**Yara Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alakeel-2026-morphemes-borders-evaluating-root-pattern/)
2. [**Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMs**Yara Yousif Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alakeel-2026-morphemes-without-borders-evaluating-root/)
3. [**Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language Development**Ko Yoshida, Daiki Shiono, Kai Sato, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/yoshida-2025-batch-wise-convergent-pre-training/)
4. [**Arabic Morphosyntactic Tagging and Dependency Parsing with Large Language Models**Mohamed Adel, Bashar Alhafni, Nizar Habash*2026*](https://md.research.elamur.ai/free/en/papers/adel-2026-arabic-morphosyntactic-tagging-dependency-parsing/)
5. [**Character-aware Transformers Learn an Irregular Morphological Pattern Yet None Generalize Like Humans**Akhilesh Kakolu Ramarao, Kevin Tang, Dinah Baer-Henney*2026*](https://md.research.elamur.ai/free/en/papers/ramarao-2026-character-aware-transformers-learn-irregular/)
6. [**From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media**Maria Ryskina, Matthew R. Gormley, Kyle Mahowald, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ryskina-2026-sunblock-softblock-analyzing-correlates-neology/)
7. [**YallaMorph: A Benchmark for Evaluating Arabic Morphological Generation in Large Language Models**Mahmoud Reda, Salam Khalifa, Reham Marzouk, et al.*2026*](https://md.research.elamur.ai/free/en/papers/reda-2026-yallamorph-benchmark-evaluating-arabic-morphological/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/weissweiler-2023-chatgpt-wugs-morphology/) — Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model