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Who cites Jonathan Tow

1,891 citations of their works from 1,742 papers of our library (of the 149,439 whose bibliographies we read) · 428 with a page here, the most cited first · page 5 of 5 · 401–428 · ← Jonathan Tow

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  1. Activation Decomposition and Steering for LLM Backdoor RemediationAnnual Meeting of the Association for Computational Linguistics (ACL)Lingfeng Zhong, Qiongkai Xu, Usman Naseem2026
  2. Beyond Accuracy: A Structured Error Analysis of Multilingual LLMs on Marathi Script Variation and SyntaxWorkshop on Multilinguality in the Era of Large Language ModelsTejas Patil, Barnali Chetia2026
  3. Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute ScalingFindings of the Association for Computational LinguisticsIvan Rodkin, Daniil Orel, Konstantin Smirnov, et al.2026
  4. Bias Dynamics in BabyLMs: Towards a Compute-Efficient Sandbox for Democratising Pre-Training DebiasingFindings of the Association for Computational LinguisticsFilip Trhlík, Andrew Caines, Paula Buttery2026
  5. CAMEC: Complexity-Aware Multi-Expert Collaboration for Reliable Chinese Medical Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yukang Wu, Xiyuan Jia, Jiayi Wu, et al.2026
  6. Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection RulesAnnual Meeting of the Association for Computational Linguistics (ACL)Kexin Ma, Haotian Wang, Shenglin Chen, et al.2026
  7. Consistency of LLMs to Comparative Statements in Mathematical Reasoning TasksLanguage Resources and Evaluation Conference (LREC)Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.2026
  8. Data Foundations of Long-Context Language Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Zechen Sun, Yuyang Sun, Zhaochen Su, et al.2026
  9. Disentangling Linguistic Relatedness from Task Alignment in Cross-Lingual TransferAnnual Meeting of the Association for Computational Linguistics (ACL)Ahmed Haj Ahmed, Ruochen Zhang, Alvin C Grissom II2026
  10. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  11. Language-Aware Token Boosting: LLM Language Confusion Reduction Without TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng2026
  12. LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM SafetyAnnual Meeting of the Association for Computational Linguistics (ACL)Junxiao Yang, Haoran Liu, Jinzhe Tu, et al.2026
  13. ltzGLUE: Luxembourgish General Language Understanding EvaluationFindings of the Association for Computational LinguisticsAlistair Plum, Felicia Körner, Anne-Marie Lutgen, et al.2026
  14. MUTANT: A Recipe for Multilingual Tokenizer DesignAnnual Meeting of the Association for Computational Linguistics (ACL)Souvik Rana, Ashish Kulkarni, Arul Menezes, et al.2026
  15. PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Jinhan Liu, Yibo Yang, Ruiying Lu, et al.2026
  16. Probing the Dynamics of Syntactic Ability Acquisition Throughout LLM PretrainingHiroshi Matsuda, Masayuki Asahara2026
  17. QAMAR: A New Fully Verified and Accurate Quranic Arabic Morphological Analysis Resource.Workshop on NLP for Languages Using Arabic ScriptSara Faqihi, Karim Bouzoubaa, Rachida Tajmout, et al.2026
  18. SEAD: A Surrogate-free Label-only Membership Inference Attack against Pre-trained LLMs with Semantic-Aware DensityFindings of the Association for Computational LinguisticsBiao Yi, Jiahao Li, Yiming Li, et al.2026
  19. TextMineX: Data, Evaluation Framework and Ontology-guided LLM Pipeline for Humanitarian Mine ActionFindings of the Association for Computational LinguisticsChenyue Zhou, Gürkan Solmaz, Flavio Cirillo, et al.2026
  20. The Algorithmic Unconscious: Structural Mechanisms and Implicit Biases in Large Language ModelsarXiv:2602.18468Philippe Boisnard2026
  21. The Impact of Tokenization Algorithms on Hungarian Language Model PerformanceLanguage Resources and Evaluation Conference (LREC)Mátyás Osváth, Máté Norbert Molnár, Roland Gunics, et al.2026
  22. Transferring Scientific English Pre-Trained Language Models to Multiple Languages Using Cross-Lingual TransferNatural Scientific Language Processing (NSLP) @ LRECNikolas Rauscher, Fabio Barth, Georg Rehm2026
  23. TReX: Tokenizer Regression for Optimal Data MixtureConference of the European Chapter of the Association for Computational Linguistics (EACL)Inho Won, Hangyeol Yoo, Minkyung Cho, et al.2026
  24. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  25. 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
  26. Assessing the Agreement Competence of Large Language ModelsAlba Táboas García, Leo Wanner2025
  27. Survey on Key Technologies for Large Language Model Pre-training Systems (大语言模型预训练系统关键技术综述)Journal of SoftwareYanjie Gao (高彦杰), Yueguo Chen (陈跃国)2025
  28. DRU at WojoodNER 2024: A Multi-level Method ApproachArabic Natural Language Processing Conference (ArabicNLP)Hadi Hamoud, Chadi Abou Chakra, Nancy Hamdan, et al.2024

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