--- title: "Who cites Aaron Mueller" description: "378 papers of the Elamur Research library cite the works of Aaron Mueller, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/aaron-mueller/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/aaron-mueller/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Aaron Mueller](https://md.research.elamur.ai/free/en/authors/aaron-mueller/) / cited by # Who cites Aaron Mueller 393 citations of their works from 378 papers of our library (of the 140,884 whose bibliographies we read) · 19 with a page here, the most cited first · [← Aaron Mueller](https://md.research.elamur.ai/free/en/authors/aaron-mueller/) 1. [**Scaling Speech Technology to 1,000+ Languages**Vineel Pratap, Andros Tjandra, Bowen Shi, et al.*2023 · 331 citations*](https://md.research.elamur.ai/free/en/papers/pratap-2023-scaling-speech-technology-1-000/) 2. [**Challenges and Applications of Large Language Models**Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.*2023 · 300 citations*](https://md.research.elamur.ai/free/en/papers/kaddour-2023-challenges-applications-large-language-models/) 3. [**Measuring Faithfulness in Chain-of-Thought Reasoning**Tamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.*2023 · 249 citations*](https://md.research.elamur.ai/free/en/papers/lanham-2023-measuring-faithfulness-chain-thought-reasoning/) 4. [**Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision**Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, et al.*2023 · 163 citations*](https://md.research.elamur.ai/free/en/papers/burns-2023-weak-strong-generalization-eliciting-strong/) 5. [**The Linear Representation Hypothesis and the Geometry of Large Language Models**Kiho Park, Yo Joong Choe, Victor Veitch*2023 · 157 citations*](https://md.research.elamur.ai/free/en/papers/park-2023-linear-representation-hypothesis-geometry-large/) 6. [**A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation**David Ifeoluwa Adelani, Jesujoba Oluwadara Alabi, Angela Fan, et al.*2022 · 155 citations*](https://md.research.elamur.ai/free/en/papers/adelani-2022-few-thousand-translations-go-long/) 7. [**Findings of the AmericasNLP 2021 Shared Task on Open Machine Translation for Indigenous Languages of the Americas**Manuel Mager, Arturo Oncevay, Abteen Ebrahimi, et al.*2021 · 118 citations*](https://md.research.elamur.ai/free/en/papers/mager-2021-findings-americasnlp-2021-shared-task/) 8. [**Quiet-STaR: Language models can teach themselves to think before speaking***2024 · 113 citations*](https://md.research.elamur.ai/free/en/papers/al-2024-quiet-star-language-models-teach/) 9. [**TurBLiMP: A Turkish Benchmark of Linguistic Minimal Pairs**Ezgi Başar, Francesca Padovani, Jaap Jumelet, et al.*2025 · 14 citations*](https://md.research.elamur.ai/free/en/papers/basar-2025-turblimp-turkish-benchmark-linguistic-minimal/) 10. [**Targeted Syntactic Evaluation on the Chomsky Hierarchy**Taiga Someya, Ryo Yoshida, Yohei Oseki*2024 · 10 citations*](https://md.research.elamur.ai/free/en/papers/someya-2024-targeted-syntactic-evaluation-chomsky-hierarchy/) 11. [**Child-Directed Language Does Not Consistently Boost Syntax Learning in Language Models**Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/padovani-2025-child-directed-language-does-not/) 12. [**The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages**Vesa Akerman, David Baines, Damien Daspit, et al.*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/akerman-2023-ebible-corpus-data-model-benchmarks/) 13. [**Expanding the JHU Bible Corpus for Machine Translation of the Indigenous Languages of North America**Garrett Nicolai, Edith Coates, Ming Zhang, et al.*2021 · 6 citations*](https://md.research.elamur.ai/free/en/papers/nicolai-2021-expanding-jhu-bible-corpus-machine/) 14. [**Improving Cross-lingual Transfer through Subtree-aware Word Reordering**Ofir Arviv, Dmitry Nikolaev, Taelin Karidi, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/arviv-2023-improving-cross-lingual-transfer-through/) 15. [**TafBERTa: Learning Grammatical Rules from Small-Scale Language Acquisition Data in Hebrew**Anita Gelboim, Elior Sulem*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/gelboim-2025-tafberta-learning-grammatical-rules-small/) 16. [**What did you say? Generating Child-Directed Speech Questions to Train LLMs**Whitney Poh, Michael Tombolini, Libby Barak*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/poh-2025-what-did-you-say-generating/) 17. [**A Universal Dependencies Treebank for Nheengatu**de Alencar, Leonel Figueiredo*2024 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alencar-2024-universal-dependencies-treebank-nheengatu/) 18. [**Child-directed speech facilitates production, not comprehension, in BabyLMs**Bastian Bunzeck, Sina Zarrieß*2026*](https://md.research.elamur.ai/free/en/papers/bunzeck-2026-child-directed-speech-facilitates-production/) 19. [**Assessing the Agreement Competence of Large Language Models**Alba Táboas García, Leo Wanner*2025*](https://md.research.elamur.ai/free/en/papers/garcia-2025-assessing-agreement-competence-large-language/) 359 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/aaron-mueller/) — Aaron Mueller