--- title: "Who cites Martijn Wieling — 144 papers of our library" description: "144 papers of the Elamur Research library cite the works of Martijn Wieling, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/martijn-wieling/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/martijn-wieling/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Martijn Wieling](https://md.research.elamur.ai/free/en/authors/martijn-wieling/) / cited by # Who cites Martijn Wieling 159 citations of their works from 144 papers of our library (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · [← Martijn Wieling](https://md.research.elamur.ai/free/en/authors/martijn-wieling/) 1. [**LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models arXiv:2308.11462**Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li*2023 · 389 citations*](https://md.research.elamur.ai/free/en/papers/guha-2023-legalbench-collaboratively-built-benchmark-measuring/) 2. [**LexGLUE: A Benchmark Dataset for Legal Language Understanding in English arXiv:2110.00976**Ilias Chalkidis; Abhik Jana; Dirk Hartung; Michael Bommarito; Ion Androutsopoulos; Daniel Martin Katz;, Nikolaos Aletras*2021 · 258 citations*](https://md.research.elamur.ai/free/en/papers/chalkidis-2021-lexglue-benchmark-dataset-legal-language/) 3. **[LexGLUE: A Benchmark Dataset for Legal Language Understanding in English](https://md.research.elamur.ai/free/en/papers/chalkidis-2022-lexglue-benchmark-dataset-legal-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ilias Chalkidis, Abhik Jana, Dirk Hartung, et al.*2022 · 239 citations* 4. [**Dialect prejudice predicts AI decisions about people's character, employability, and criminality arXiv:2403.00742**Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, et al.*2024 · 57 citations*](https://md.research.elamur.ai/free/en/papers/hofmann-2024-dialect-prejudice-predicts-ai-decisions/) 5. **[Casablanca: Data and Models for Multidialectal Arabic Speech Recognition](https://md.research.elamur.ai/free/en/papers/talafha-2024-casablanca-data-models-multidialectal-arabic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Bashar Talafha, Karima Kadaoui, Samar Mohamed Magdy, et al.*2024 · 45 citations* 6. **[Prediction of Arabic Legal Rulings using Large Language Models](https://md.research.elamur.ai/free/en/papers/ammar-2023-prediction-arabic-legal-rulings-using/) [Electronics](https://md.research.elamur.ai/free/en/venues/electronics/)**Adel Ammar, Anis Koubaa, Bilel Benjdira, et al.*2023 · 27 citations* 7. [**Language Resources for Dutch Large Language Modelling arXiv:2312.12852**Bram Vanroy*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/vanroy-2023-language-resources-dutch-large-language/) 8. **[SoundMind: RL-Incentivized Logic Reasoning for Audio-Language Models](https://md.research.elamur.ai/free/en/papers/diao-2025-soundmind-rl-incentivized-logic-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xingjian Diao, Chunhui Zhang, Keyi Kong, et al.*2025 · 11 citations* 9. **[Self-supervised Speech Representations Still Struggle with African American Vernacular English](https://md.research.elamur.ai/free/en/papers/chang-2024-self-supervised-speech-representations-still/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Kalvin Chang, Yi-Hui Chou, Jiatong Shi, et al.*2024 · 10 citations* 10. **[MTEB-NL and E5-NL: Embedding Benchmark and Models for Dutch](https://md.research.elamur.ai/free/en/papers/banar-2026-mteb-nl-e5-nl-embedding/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nikolay Banar, Ehsan Lotfi, Jens Van Nooten, et al.*2026 · 4 citations* 11. [**ALJP: An Arabic Legal Judgment Prediction in Personal Status Cases Using Machine Learning Models arXiv:2309.00238**Salwa Abbara, Mona Hafez, Aya Kazzaz, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/abbara-2023-aljp-arabic-legal-judgment-prediction/) 12. [**Doing More with Less: Data Augmentation for Sudanese Dialect Automatic Speech Recognition arXiv:2601.06802**Ayman Mansour*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/mansour-2026-doing-more-less-data-augmentation/) 13. **[Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens](https://md.research.elamur.ai/free/en/papers/nigatu-2026-evaluating-machine-translation-datasets-low/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hellina Hailu Nigatu, Bethelhem Yemane Mamo, Bontu Fufa Balcha, et al.*2026 · 1 citation* 14. **[LIUM Submission for IWSLT 2026 Low-resource Speech Translation Track](https://md.research.elamur.ai/free/en/papers/mohammadamini-2026-lium-submission-iwslt-2026-low/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Mohammad Mohammadamini, Marie Tahon*2026 · 1 citation* 15. **[ASR Models for Traditional Emirati Arabic: Challenges, Adaptations, and Performance Evaluation](https://md.research.elamur.ai/free/en/papers/alblooki-2025-asr-models-traditional-emirati-arabic/) [International Conference on Natural Language and Speech Processing](https://md.research.elamur.ai/free/en/venues/icnlsp/)**Maha Alblooki, Kentaro Inui, Shady Shehata*2025 · 1 citation* 16. [**Can Large Language Models Reliably Correct Errors in Low-Resource ASR? A Contamination-Aware Case Study on West Frisian arXiv:2605.19711**Yun Hao, Reihaneh Amooie, Wietse de Vries, et al.*2026*](https://md.research.elamur.ai/free/en/papers/hao-2026-large-language-models-reliably-correct/) 17. **[Phonetic-based Ranking for Improved Pseudo-Labeling in Low-Resource ASR](https://md.research.elamur.ai/free/en/papers/matassoni-2026-phonetic-based-ranking-improved-pseudo/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Marco Matassoni, Roberto Gretter, Falavigna Daniele, et al.*2026* 18. **[Side-by-side Comparison Amplifies Dialect Bias in Language Models](https://md.research.elamur.ai/free/en/papers/kondapally-2026-side-side-comparison-amplifies-dialect/) [ACM Conference on Fairness, Accountability, and Transparency (FAccT)](https://md.research.elamur.ai/free/en/venues/acm-conference-on-fairness-accountability-and-transparency-facct/)**Kritee Kondapally, Claire J. Smerdon, Pooja C. Patel, et al.*2026* 19. **[TG-ASR: Translation-Guided Learning with Parallel Gated Cross Attention for Low-Resource Automatic Speech Recognition](https://md.research.elamur.ai/free/en/papers/yang-2026-tg-asr-translation-guided-learning/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**ChengYeh Yang, Chien-Chun Wang, Li-Wei Chen, et al.*2026* 125 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/martijn-wieling/) — Martijn Wieling