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Who cites Ian Magnusson

909 citations of their works from 718 papers of our library (of the 149,439 whose bibliographies we read) · 183 with a page here, the most cited first · page 2 of 2 · 101–183 · ← Ian Magnusson

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  1. Minimal Pair-Based Evaluation of Code-SwitchingAnnual Meeting of the Association for Computational Linguistics (ACL)Igor Sterner, Simone Teufel2025 · 6 citations
  2. Detecting Training Data of Large Language Models via Expectation MaximizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, et al.2026 · 5 citations
  3. WikiVideo: Article Generation from Multiple VideosFindings of the Association for Computational LinguisticsAlexander Martin, Reno Kriz, William Gantt Walden, et al.2026 · 5 citations
  4. Are BabyLMs Deaf to Gricean Maxims? A Pragmatic Evaluation of Sample-efficient Language ModelsBabyLM WorkshopRaha Askari, Sina Zarrieß, Özge Alacam, et al.2025 · 4 citations
  5. Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic EvaluationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ananth Agarwal, Jasper Jian, Christopher D Manning, et al.2025 · 4 citations
  6. Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.2026 · 3 citations
  7. Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference ContextWorkshop on Gender Bias in Natural Language ProcessingMarion Bartl, Thomas Brendan Murphy, Susan Leavy2025 · 3 citations
  8. A Sovereign, Open-Source Foundation Model for German and EnglisharXiv:2607.09424Soofi-Team: Benedikt Droste, David Fitzek, Ruben Harle, et al.2026 · 2 citations
  9. Dicta-LM 3.0: Advancing The Frontier of Hebrew Sovereign LLMsShaltiel Shmidman, Avi Shmidman, Amir DN Cohen, et al.2026 · 2 citations
  10. HTMuon: Improving Muon via Heavy-Tailed Spectral CorrectionFindings of the Association for Computational LinguisticsTianyu Pang, Yujie Fang, Zihang Liu, et al.2026 · 2 citations
  11. Improving Romanian LLM Pretraining Data using Diversity and Quality FilteringWorkshop on Language Models for Low-Resource LanguagesVlad-Andrei Negoiță, Mihai Masala, Traian Rebedea2026 · 2 citations
  12. Kenji-Endo: a BabyLM @EVALITAEvaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopCalogero Jerik Scozzaro, Matteo Rinaldi, Gianluca Mittone, et al.2026 · 2 citations
  13. QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsDehai Min, Kailin Zhang, Tongtong Wu, et al.2026 · 2 citations
  14. The olmOCR Project: Building Fully Open OCR using VLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jake Poznanski, Kyle Lo, Luca Soldaini2026 · 2 citations
  15. Automatic Extraction of Clausal Embedding Based on Large-Scale English Text DataSociety for Computation in Linguistics (SCiL)Iona Carslaw, Sivan Milton, Nicolas Navarre, et al.2025 · 2 citations
  16. The German Commons - 154 Billion Tokens of Openly Licensed Text for German Language ModelsarXiv:2510.13996Lukas Gienapp, Christopher Schroder, Stefan Schweter, et al.2025 · 2 citations
  17. Hypothesis-only Biases in Large Language Model-Elicited Natural Language InferencearXiv:2410.08996Grace Proebsting, Adam Poliak2024 · 2 citations
  18. A Comprehensive Evaluation of Chain-of-Thought Faithfulness in Persian Classification TasksWorkshop on Language Models for Low-Resource LanguagesShakib Yazdani, Cristina España-Bonet, Eleftherios Avramidis, et al.2026 · 1 citation
  19. Addressing the Ecological Fallacy in Larger LMs with Human ContextConference on Computational Natural Language Learning (CoNLL)Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, et al.2026 · 1 citation
  20. Aligned Probing: Relating Toxic Behavior and Model InternalsTransactions of the Association for Computational Linguistics (TACL)Andreas Waldis, Vagrant Gautam, Anne Lauscher, et al.2026 · 1 citation
  21. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
  22. Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyuan Yang, Wenxuan Ding, Shangbin Feng, et al.2026 · 1 citation
  23. BSC's Submission to the Instruction Following Track of IWSLT 2026International Conference on Spoken Language Translation (IWSLT)Oriol Pareras, Joan Llado, Pol Buitrago, et al.2026 · 1 citation
  24. From Interpretability to Performance: Optimizing Retrieval Heads for Long-Context Language ModelsFindings of the Association for Computational LinguisticsYoumi Ma, Naoaki Okazaki2026 · 1 citation
  25. KletterMix: Climbing Toward High-Quality German Pretraining Data - The Full ReportarXiv:2606.03773Maurice Kraus, Ruben Harle, Sebastian Sztwiertnia, et al.2026 · 1 citation
  26. Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus ConstructionsConference on Computational Natural Language Learning (CoNLL)Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, et al.2026 · 1 citation
  27. NeoAraBERT: A Modern Foundation Model for Arabic Embeddings with Diacritics-Aware Tokenization and POS-Targeted MaskingFindings of the Association for Computational LinguisticsChadi Abou Chakra, Hadi Khaled Hamoud, Osama Rakan Al Mraikhat, et al.2026 · 1 citation
  28. OLA: Output Language Alignment in Code-Switched LLM InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Juhyun Oh, Haneul Yoo, Faiz Ghifari Haznitrama, et al.2026 · 1 citation
  29. Personal Information Parroting in Language ModelsFindings of the Association for Computational LinguisticsNishant Subramani, Kshitish Ghate, Mona T. Diab2026 · 1 citation
  30. Prior Beliefs Prejudice LLM-as-Judge: Evidence from Persuasion EvaluationFindings of the Association for Computational LinguisticsPardis Sadat Zahraei, Xiaoning Wang, Nimet Beyza Bozdag, et al.2026 · 1 citation
  31. Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and DomainsFindings of the Association for Computational LinguisticsMd. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, et al.2026 · 1 citation
  32. Reasoning Up the Instruction Ladder for Controllable Language ModelsFindings of the Association for Computational LinguisticsZishuo Zheng, Vidhisha Balachandran, Chan Young Park, et al.2026 · 1 citation
  33. Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Priyanka Mary Mammen, Emil Joswin, Shankar Venkitachalam2026 · 1 citation
  34. ArabicWeb-Edu: Educational Quality Data for Arabic LLM TrainingArabic Natural Language Processing Conference (ArabicNLP)Majd Hawasly, Tasnim Mohiuddin, Hamdy Mubarak, et al.2025 · 1 citation
  35. Biases in Large Language Model-Elicited Text: A Case Study in Natural Language InferenceInternational Conference on Computational Linguistics (COLING)Grace Proebsting, Adam Poliak2025 · 1 citation
  36. A Survey on Parameter-efficient Fine-tuning of Large Models: Techniques, Trends, and Challenges (大模型参数高效微调方法综述: 技术、趋势与挑战)Acta Automatica Sinica (自动化学报)Anda Tang (唐岸达), Zhouchen Lin (林宙辰)2026
  37. AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Yu, Tianyi Xu, Michael A. Hedderich, et al.2026
  38. Beyond Static Synthetic Noise: Assessing the Robustness of Large Language Models to Natural Context Variation in the Real WorldFindings of the Association for Computational LinguisticsYulong Wu, Viktor Schlegel, Riza Batista-Navarro2026
  39. Boosting Self-Consistency with RankingAnnual Meeting of the Association for Computational Linguistics (ACL)Maria Marina, Daniil Moskovskiy, Sergey Pletenev, et al.2026
  40. CheckMIABench: Firm Foundations For Membership Inference Attacks on Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jeffrey George Wang, Jason Wang, Marvin Li, et al.2026
  41. Continuous Interpretive Steering for Scalar DiversityAnnual Meeting of the Association for Computational Linguistics (ACL)Ye-eun Cho2026
  42. Datasets for Scientific Literature Understanding: A SurveyFindings of the Association for Computational LinguisticsYuanzhe Zhang, Xun Zhao, Maodi Hu, et al.2026
  43. Detecting Non-Membership in LLM Training Data via Rank CorrelationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Pranav Shetty, Mirazul Haque, Zhiqiang Ma, et al.2026
  44. Don't ‘Well, Actually' Me Unless You Know What You're Talking About: Weak Presupposition Verification Degrades General QA PerformancearXiv:2608.06539Shenran Wang, Vered Shwartz, Hila Gonen2026
  45. EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xingrun Xing, Zheng Liu, Shitao Xiao, et al.2026
  46. Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Francesco Maria Molfese, Momchil Hardalov, Rexhina Blloshmi, et al.2026
  47. Faithfulness vs. Safety: Evaluating LLM Behavior Under Counterfactual Medical EvidenceFindings of the Association for Computational LinguisticsKaijie Mo, Siddhartha Venkatayogi, Chantal Shaib, et al.2026
  48. GKnow: Measuring the Entanglement of Gender Bias and Factual GenderAnnual Meeting of the Association for Computational Linguistics (ACL)Leonor Veloso, Hinrich Schuetze2026
  49. GPT-NL Public Corpus: A Permissively Licensed, Dutch-First Dataset for LLM Pre-trainingLanguage Resources and Evaluation Conference (LREC)Jesse J. Van Oort, Frank Brinkkemper, Erik de Graaf, et al.2026
  50. Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and TrustBig Picture v2: Crafting a Research NarrativeNishant Subramani2026
  51. Heterogeneity in Formal Linguistic Competence of Language Models: Is Data the Real Bottleneck?Findings of the Association for Computational LinguisticsH S V N S Kowndinya Renduchintala, Sumit Bhatia2026
  52. How Can Synthetic Data Improve Multilingual Language Model Pretraining? A Data Quality PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Tongyao Zhu, Qian Liu, Chang Ma, et al.2026
  53. How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM PipelinearXiv:2604.04204Mir Tafseer Nayeem, Davood Rafiei2026
  54. How Far Can Bias Go? Tracing Bias from Pre-Training Data to AlignmentLanguage Resources and Evaluation Conference (LREC)Marion Thaler, Abdullatif Köksal, Alina Leidinger, et al.2026
  55. Improving Chain-of-Thought for Logical Reasoning via Attention-Aware InterventionFindings of the Association for Computational LinguisticsPhuong Minh Nguyen, Dang Huu-Tien, Naoya Inoue2026
  56. Lexical Popularity: Quantifying the Impact of Pre-training for LLM PerformanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Elena Sofia Ruzzetti, Fabio Massimo Zanzotto, Tommaso Caselli2026
  57. LLMSurgeon: Diagnosing Data Mixture of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yaxin Luo, Jiacheng Cui, Xiaohan Zhao, et al.2026
  58. MameLoshnLM: Yiddish Language Model and Evaluation BenchmarkarXiv:2608.05850 · Proceedings of the Third Conference on Language Modeling (COLM 2026), 2026Uri Katz, Omer Goldman, Tomasz Limisiewicz, et al.2026
  59. Merge and Conquer: Instructing Multilingual Models by Adding Target Language WeightsLanguage Resources and Evaluation Conference (LREC)Eneko Valero, Maria Ribalta i Albado, Oscar Sainz, et al.2026
  60. MUC-4 Revisited: Document-level Event Analysis beyond Span-based ArgumentsLanguage Resources and Evaluation Conference (LREC)Helene Bøsei Olsen, Erik Velldal, Lilja Øvrelid2026
  61. Observations and Remedies for Large Language Model Bias in Self-Consuming Performative LoopAnnual Meeting of the Association for Computational Linguistics (ACL)Yaxuan Wang, Zhongteng Cai, Yujia Bao, et al.2026
  62. Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language ModelingarXiv:2604.28075Ansar Aynetdinov, Patrick Haller, Alan Akbik2026
  63. Rethinking Data Mixing from the Perspective of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanjian Xu, Tianze Sun, Changwei Xu, et al.2026
  64. Rethinking the Idiomaticity Decomposability Hypothesis: Evidence from Distributional LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Maggie Mi, Golzar Atefi, Atsuki Yamaguchi, et al.2026
  65. Rewriting History: A Recipe for Interventional Analyses to Study Data Effects on Model BehaviorTransactions of the Association for Computational Linguistics (TACL)Rahul Nadkarni, Yanai Elazar, Hila Gonen, et al.2026
  66. Scare Quotes as Markers of “Questionable” Word Usages and Misalignment in Conversation: An Annotation StudyLanguage Resources and Evaluation Conference (LREC)Aina Garí Soler, Juan Carlos Zevallos Huaco, Matthieu Labeau, et al.2026
  67. SciPedia: Unlocking the Value of Scientific Data for Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yiwei Qin, Zhen Huang, Tiantian Mi, et al.2026
  68. Sentiment Analysis and Language Models for KwanyamaLanguage Resources and Evaluation Conference (LREC)Ndapa Nakashole2026
  69. SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Binxian Su, Haoye Lou, Shucheng Zhu, et al.2026
  70. Suppressing Final Layer Hidden State Jumps in Transformer PretrainingFindings of the Association for Computational LinguisticsKeigo Shibata, Kazuki Yano, Ryosuke Takahashi, et al.2026
  71. The Challenge of Identifying the Origin of Black-Box Large Language ModelsWorkshop on Privacy in Natural Language ProcessingZiqing Yang, Yixin Wu, Yun Shen, et al.2026
  72. The Conundrum of Trustworthy Research on Attacking Personally Identifiable Information Removal TechniquesComputational LinguisticsSebastian Ochs, Ivan Habernal2026
  73. The Validity of Coreference-based Evaluations of Natural Language UnderstandingarXiv:2602.16200Ian Porada2026
  74. Think Like You Execute: Verifiable Chain of Thought from Program TracesAnnual Meeting of the Association for Computational Linguistics (ACL)Shailja Thakur, Vaibhav Saxena, Rohan Kulkarni, et al.2026
  75. TiKMiX: Efficient Semi-Dynamic Data Mixture via Data Influence for LLM Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yifan Wang, Binbinliu, Fengze Liu, et al.2026
  76. Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai2026
  77. Weight Tying Biases Token Embeddings Towards the Output SpaceFindings of the Association for Computational LinguisticsAntonio Lopardo, Avyukth Harish, Catherine Arnett, et al.2026
  78. What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Xinlan Yan, Di Wu, Yibin Lei, et al.2026
  79. Who Speaks for Whom? LLM-Generated Survey Data as a Proxy for Public OpinionWorkshop on Natural Language Processing and Computational Social ScienceRadhakrishnan Venkatakrishnan, Travis Brodbeck, Michael D. Young2026
  80. Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Shenbin Qian, Yves Scherrer2026
  81. Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMsWilliam Sheffield, Kanishka Misra, Valentina Pyatkin, et al.2025
  82. Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM ResponsesarXiv:2511.23041Dong Nguyen, Laura Rosseel2025
  83. 360Zhinao Technical ReportarXiv:2405.133862024

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