---
title: "Who cites Lukas Lange — 210 papers of our library"
description: "210 papers of the Elamur Research library cite the works of Lukas Lange, found in their bibliographies; the most cited first."
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---
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# Who cites Lukas Lange

219 citations of their works from 210 papers of our library (of the 149,439 whose bibliographies we read) · 40 with a page here, the most cited first · [← Lukas Lange](https://md.research.elamur.ai/free/en/authors/lukas-lange/)

1. [**Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj**Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.*2022 · 1,756 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/)
2. **[A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios](https://md.research.elamur.ai/free/en/papers/hedderich-2021-survey-recent-approaches-natural-language/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Michael A. Hedderich, Lukas Lange, Heike Adel, et al.*2021 · 401 citations*
3. **[An Analysis of Simple Data Augmentation for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/dai-2020-analysis-simple-data-augmentation-named/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Xiang Dai, Heike Adel*2020 · 266 citations*
4. **[An Empirical Survey of Data Augmentation for Limited Data Learning in NLP](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaao Chen, Derek Tam, Colin Raffel, et al.*2023 · 254 citations*
5. [**mGPT: Few-Shot Learners Go Multilingual arXiv:2204.07580**Oleh Shliazhko, Alena Fenogenova, Maria Tikhonova, et al.*2022 · 203 citations*](https://md.research.elamur.ai/free/en/papers/shliazhko-2022-mgpt-few-shot-learners-go/)
6. **[A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets](https://md.research.elamur.ai/free/en/papers/laskar-2023-systematic-study-comprehensive-evaluation-chatgpt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.*2023 · 200 citations*
7. **[Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models](https://md.research.elamur.ai/free/en/papers/chen-2025-towards-reasoning-era-survey-long/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Libo Qin, Jinhao Liu, et al.*2025 · 176 citations*
8. [**REFINER: Reasoning Feedback on Intermediate Representations arXiv:2304.01904**Debjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.*2023 · 156 citations*](https://md.research.elamur.ai/free/en/papers/paul-2023-refiner-reasoning-feedback-intermediate-representations/)
9. [**UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition arXiv:2308.03279**Wenxuan Zhou, Sheng Zhang, Yu Gu, et al.*2023 · 120 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2023-universalner-targeted-distillation-large-language/)
10. **[Automated stance detection in complex topics and small languages: the challenging case of immigration in polarizing news media](https://md.research.elamur.ai/free/en/papers/mets-2023-automated-stance-detection-complex-topics/) [PLoS ONE](https://md.research.elamur.ai/free/en/venues/plos-one/)**Mark Mets, Andres Karjus, Indrek Ibrus, et al.*2023 · 43 citations*
11. **[What does it take to bake a cake? The RecipeRef corpus and anaphora resolution in procedural text](https://md.research.elamur.ai/free/en/papers/fang-2022-what-does-it-take-bake/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Biaoyan Fang, Timothy Baldwin, Karin Verspoor*2022 · 32 citations*
12. **[Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/yu-2025-back-attention-understanding-enhancing-multi/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zeping Yu, Yonatan Belinkov, Sophia Ananiadou*2025 · 16 citations*
13. **[Language Mixing in Reasoning Language Models: Patterns, Impact, and Internal Causes](https://md.research.elamur.ai/free/en/papers/wang-2025-language-mixing-reasoning-language-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Mingyang Wang, Lukas Lange, Heike Adel, et al.*2025 · 16 citations*
14. [**Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual Settings arXiv:2410.13153**Krishno Dey, Prerona Tarannum, Md. Arid Hasan, et al.*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/dey-2024-better-ask-english-evaluation-large/)
15. **[Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhang-2026-think-natively-unlocking-multilingual-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xue Zhang, Yunlong Liang, Fandong Meng, et al.*2026 · 11 citations*
16. **[UM-DFKI Maltese Speech Translation](https://md.research.elamur.ai/free/en/papers/williams-2023-um-dfki-maltese-speech-translation/) [International Conference on Spoken Language Translation (IWSLT)](https://md.research.elamur.ai/free/en/venues/iwslt/)**Aiden Williams, Kurt Abela, Rishu Kumar, et al.*2023 · 11 citations*
17. **[TransMI: A Framework to Create Strong Baselines from Multilingual Pretrained Language Models for Transliterated Data](https://md.research.elamur.ai/free/en/papers/liu-2025-transmi-framework-create-strong-baselines/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Yihong Liu, Chunlan Ma, Haotian Ye, et al.*2025 · 10 citations*
18. **[Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-locate-steer-improve-practical-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.*2026 · 9 citations*
19. **[Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline](https://md.research.elamur.ai/free/en/papers/lu-2025-paths-not-taken-understanding-mending/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Meng Lu, Ruochen Zhang, Carsten Eickhoff, et al.*2025 · 9 citations*
20. **[A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages](https://md.research.elamur.ai/free/en/papers/zhao-2026-comprehensive-evaluation-multilingual-chain-thought/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Raoyuan Zhao, Yihong Liu, Hinrich Schuetze, et al.*2026 · 7 citations*
21. **[Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide](https://md.research.elamur.ai/free/en/papers/szep-2026-fine-tuning-large-language-models/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.*2026 · 7 citations*
22. **[NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark](https://md.research.elamur.ai/free/en/papers/mikhailov-2025-noreval-norwegian-language-understanding-generation/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Vladislav Mikhailov, Tita Enstad, David Samuel, et al.*2025 · 7 citations*
23. **[The Translation Barrier Hypothesis: Multilingual Generation with Large Language Models Suffers from Implicit Translation Failure](https://md.research.elamur.ai/free/en/papers/bafna-2025-translation-barrier-hypothesis-multilingual-generation/) [International Joint Conference on Natural Language Processing (IJCNLP)](https://md.research.elamur.ai/free/en/venues/ijcnlp/)**Niyati Bafna, Tianjian Li, Kenton Murray, et al.*2025 · 7 citations*
24. **[Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent Detection](https://md.research.elamur.ai/free/en/papers/blaschke-2025-add-noise-tasks-or-layers/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Verena Blaschke, Felicia Körner, Barbara Plank*2025 · 3 citations*
25. **[Automatic Correction of Writing Anomalies in Hausa Texts](https://md.research.elamur.ai/free/en/papers/wali-2026-automatic-correction-writing-anomalies-hausa/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ahmad Mustapha Wali, Sergiu Nisioi*2026 · 2 citations*
26. **[Can you map it to English? The Role of Cross-Lingual Alignment in the Multilingual Performance of LLMs](https://md.research.elamur.ai/free/en/papers/ravisankar-2026-can-you-map-it-english/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kartik Ravisankar, HyoJung Han, Sarah Wiegreffe, et al.*2026 · 1 citation*
27. **[DLRG@LT-EDI 2026: Automating Counter-Narratives for Homophobic and Transphobic Comments](https://md.research.elamur.ai/free/en/papers/r-2026-dlrg-lt-edi-2026-automating/) [Workshop on Language Technology for Equality, Diversity, Inclusion](https://md.research.elamur.ai/free/en/venues/ltedi/)**Ramesh Kannan R, Ratnavel Rajalakshmi*2026 · 1 citation*
28. **[Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim Detection](https://md.research.elamur.ai/free/en/papers/vykopal-2026-investigating-language-retrieval-bias-multilingual/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ivan Vykopal, Antonia Karamolegkou, Jaroslav Kopčan, et al.*2026 · 1 citation*
29. **[OLA: Output Language Alignment in Code-Switched LLM Interactions](https://md.research.elamur.ai/free/en/papers/oh-2026-ola-output-language-alignment-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Juhyun Oh, Haneul Yoo, Faiz Ghifari Haznitrama, et al.*2026 · 1 citation*
30. [**ANNOTARES: A Dataset for Extracting Logical Structures from German Statutory Texts arXiv:2608.03898**Ronja Schwarz, Jannik Strotgen*2026*](https://md.research.elamur.ai/free/en/papers/schwarz-2026-annotares-dataset-extracting-logical-structures/)
31. [**BEReshiT: an Ancient Hebrew Model based on DictaBERT**Iglika Nikolova-Stoupak, Maxime Amblard, Frédérique Rey*2026*](https://md.research.elamur.ai/free/en/papers/stoupak-2026-bereshit-ancient-hebrew-model-based/)
32. **[Beyond Catalogue Counts: The Dataset Visibility Asymmetry in Low-Resource Multilingual NLP](https://md.research.elamur.ai/free/en/papers/tan-2026-beyond-catalogue-counts-dataset-visibility/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Zhiyin Tan, Changxu Duan*2026*
33. **[First Steps in ASR for Cypriot Greek: Challenges and Insights](https://md.research.elamur.ai/free/en/papers/stamou-2026-first-steps-asr-cypriot-greek/) [Workshop on Dialects in NLP –- A Resource Perspective](https://md.research.elamur.ai/free/en/venues/dialres/)**Vivian Stamou, Spyros Armostis, Antigoni Klimi, et al.*2026*
34. **[Language Effects in Text-to-SQL Across English and Portuguese](https://md.research.elamur.ai/free/en/papers/nobre-2026-language-effects-text-sql-across/) [International Conference on Computational Processing of Portuguese](https://md.research.elamur.ai/free/en/venues/propor/)**Lucas Nobre, Suele Sousa, Savio Teles, et al.*2026*
35. **[Language-Aware Token Boosting: LLM Language Confusion Reduction Without Tuning](https://md.research.elamur.ai/free/en/papers/ukarapol-2026-language-aware-token-boosting-llm/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng*2026*
36. **[RelEx-PT: A Portuguese Sentence-Level Relation Extraction Dataset](https://md.research.elamur.ai/free/en/papers/pinto-2026-relex-pt-portuguese-sentence-level/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tomás Pinto, Catarina Silva, Hugo Goncalo Oliveira*2026*
37. **[TalkTag: Fine-Grained Morphosyntactic Error Annotation for Transcribed Speech](https://md.research.elamur.ai/free/en/papers/venturini-2026-talktag-fine-grained-morphosyntactic-error/) [Linguistic Annotation Workshop (LAW)](https://md.research.elamur.ai/free/en/venues/law/)**Shamira Venturini, Oliver Hennhöfer, Steffen Kinkel, et al.*2026*
38. **[Variation Is the Norm: Embracing Sociolinguistics in NLP](https://md.research.elamur.ai/free/en/papers/lutgen-2026-variation-is-norm-embracing-sociolinguistics/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anne-Marie Lutgen, Alistair Plum, Verena Blaschke, et al.*2026*
39. [**Finetuning Large Language Models for Automated Depression Screening in Nigerian Pidgin English: GENSCORE Pilot Study arXiv:2601.00004**Isaac Iyinoluwa Olufadewa, Miracle Ayomikun Adesina, Ezekiel Ayodeji Oladejo, et al.*2025*](https://md.research.elamur.ai/free/en/papers/olufadewa-2025-finetuning-large-language-models-automated/)
40. [**NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case Study**Matthew Nazari*2024*](https://md.research.elamur.ai/free/en/papers/nazari-2024-nolor-asr-based-framework-expedited/)

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

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