---
title: "Who cites Mark Cieliebak — 147 papers of our library"
description: "147 papers of the Elamur Research library cite the works of Mark Cieliebak, found in their bibliographies; the most cited first."
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---
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# Who cites Mark Cieliebak

173 citations of their works from 147 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · [← Mark Cieliebak](https://md.research.elamur.ai/free/en/authors/mark-cieliebak/)

1. **[XLM-T: Multilingual Language Models in Twitter for Sentiment Analysis and Beyond](https://md.research.elamur.ai/free/en/papers/barbieri-2022-xlm-t-multilingual-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Francesco Barbieri, Luis Espinosa Anke, Jose Camacho-Collados*2022 · 271 citations*
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. **[Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-corpus-creation-sentiment-analysis-code/) [Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)](https://md.research.elamur.ai/free/en/venues/sltu/)**Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, et al.*2020 · 234 citations*
5. **[Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign](https://md.research.elamur.ai/free/en/papers/zampieri-2018-language-identification-morphosyntactic-tagging-second/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Marcos Zampieri, Shervin Malmasi, Preslav Nakov, et al.*2018 · 170 citations*
6. **[A Sentiment Analysis Dataset for Code-Mixed Malayalam-English](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-sentiment-analysis-dataset-code-mixed/) [Joint Workshop on Spoken Language Technologies for Under-resourced languages (SLTU) and Collaboration and Computing for Under-Resourced Languages (CCURL)](https://md.research.elamur.ai/free/en/venues/sltu/)**Bharathi Raja Chakravarthi, Navya Jose, Shardul Suryawanshi, et al.*2020 · 158 citations*
7. **[CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering](https://md.research.elamur.ai/free/en/papers/wiratunga-2024-cbr-rag-case-based-reasoning/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Nirmalie Wiratunga, Ramitha Abeyratne, Lasal Jayawardena, et al.*2024 · 154 citations*
8. [**SaulLM-7B: A pioneering Large Language Model for Law arXiv:2403.03883**Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, et al.*2024 · 119 citations*](https://md.research.elamur.ai/free/en/papers/colombo-2024-saullm-7b-pioneering-large-language/)
9. **[The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning](https://md.research.elamur.ai/free/en/papers/kim-2023-cot-collection-improving-zero-shot/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Seungone Kim, Se Joo, Doyoung Kim, et al.*2023 · 118 citations*
10. **[Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art](https://md.research.elamur.ai/free/en/papers/liu-2025-culturally-aware-adapted-nlp-taxonomy/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Chen Cecilia Liu, Iryna Gurevych, Anna Korhonen*2025 · 90 citations*
11. **[LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model Development](https://md.research.elamur.ai/free/en/papers/chalkidis-2023-lexfiles-legallama-facilitating-english-multinational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ilias Chalkidis, Nicolas Garneau, Catalina Goanta, et al.*2023 · 83 citations*
12. **[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*
13. **[LexSumm and LexT5: Benchmarking and Modeling Legal Summarization Tasks in English](https://md.research.elamur.ai/free/en/papers/s-2024-lexsumm-lext5-benchmarking-modeling-legal/) [Natural Legal Language Processing Workshop](https://md.research.elamur.ai/free/en/venues/nllp/)**Santosh T.Y.S.S, Cornelius Weiss, Matthias Grabmair*2024 · 16 citations*
14. **[A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation](https://md.research.elamur.ai/free/en/papers/blaschke-2025-multi-dialectal-dataset-german-dialect/) [Interspeech](https://md.research.elamur.ai/free/en/venues/interspeech-usb/)**Verena Blaschke, Miriam Winkler, Constantin Forster, et al.*2025 · 12 citations*
15. **[A Conversational Intelligent Tutoring System for Improving English Proficiency of Non-Native Speakers via Debriefing of Online Meeting Transcriptions](https://md.research.elamur.ai/free/en/papers/ortiz-2024-conversational-intelligent-tutoring-system-improving/) [Workshop on Natural Language Processing for Computer Assisted Language Learning](https://md.research.elamur.ai/free/en/venues/nlp4call/)**Juan Antonio Pérez-Ortiz, Miquel Esplà-Gomis, Víctor M. Sánchez-Cartagena, et al.*2024 · 7 citations*
16. **[JuriFindIT: an Italian legal retrieval dataset](https://md.research.elamur.ai/free/en/papers/noce-2026-jurifindit-italian-legal-retrieval-dataset/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Niko Dalla Noce, Davide Colla, Sina Farhang Doust, et al.*2026 · 3 citations*
17. **[Evaluating Customized vs. Generalist Transformer-based Models for Legal Contract Classification](https://md.research.elamur.ai/free/en/papers/singh-2026-evaluating-customized-vs-generalist-transformer/) [Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual](https://md.research.elamur.ai/free/en/venues/customnlp4u/)**Amrita Singh, H. Suhan Karaca, Aditya Joshi, et al.*2026 · 2 citations*
18. **[Benchmarking NLP-supported Language Sample Analysis for Swiss Children's Speech](https://md.research.elamur.ai/free/en/papers/ryser-2026-benchmarking-nlp-supported-language-sample/) [Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments in cooperation with the MENTAL.ai consortium](https://md.research.elamur.ai/free/en/venues/rapid/)**Anja Ryser, Yingqiang Gao, Sarah Ebling*2026*
19. **[Regional Variation in the Performance of ASR Models on Croatian and Serbian](https://md.research.elamur.ai/free/en/papers/samardzic-2026-regional-variation-performance-asr-models/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Tanja Samardžić, Peter Rupnik, Nikola Ljubešić*2026*
20. [**Subtitle-Aligned Fine-Tuning of Whisper for Swiss German ASR: Benchmark Contamination, Convention Mismatch, and an Honest Baseline at 25.6% WER (13.8% cWER) arXiv:2606.07608**Felix Akeret*2026*](https://md.research.elamur.ai/free/en/papers/akeret-2026-subtitle-aligned-fine-tuning-whisper/)

127 more citing papers of our library have no page here yet.

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