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Who cites Stas Bekman

1,881 citations of their works from 1,816 papers of our library (of the 149,439 whose bibliographies we read) · 426 with a page here, the most cited first · page 5 of 5 · 401–426 · ← Stas Bekman

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  1. 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
  2. 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
  3. 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
  4. Entropy-aware Masking for Masked Language ModelingJoint Conference on Lexical and Computational Semantics (*SEM)Gokul Srinivasagan, Kai Hartung, Munir Georges2026
  5. FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMsFindings of the Association for Computational LinguisticsAlbert Sawczyn, Jakub Binkowski, Denis Janiak, et al.2026
  6. From Attenuation to Attention: Variational Information Flow Manipulation for Fine-Grained Visual PerceptionFindings of the Association for Computational LinguisticsJilong Zhu, Yang Feng2026
  7. HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language ModelNoam Kayzer, Dan Revital, Ori Bar Joseph, et al.2026
  8. Language-Aware Token Boosting: LLM Language Confusion Reduction Without TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Trapoom Ukarapol, Pakhapoom Sarapat, Nut Chukamphaeng2026
  9. 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
  10. 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
  11. More Than Sum of Its Parts: Deciphering Intent Shifts in Multimodal Hate Speech DetectionFindings of the Association for Computational LinguisticsRunze Sun, Yu Zheng, Zexuan Xiong, et al.2026
  12. MUTANT: A Recipe for Multilingual Tokenizer DesignAnnual Meeting of the Association for Computational Linguistics (ACL)Souvik Rana, Ashish Kulkarni, Arul Menezes, et al.2026
  13. On the Additive Compositionality of Task Vectors in Vision–Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yuting Shi, Houjing Wei, Naoya Inoue2026
  14. Probing the Dynamics of Syntactic Ability Acquisition Throughout LLM PretrainingHiroshi Matsuda, Masayuki Asahara2026
  15. Quality and Appropriateness of Large Text Datasets for Irish NLPSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesAbigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.2026
  16. 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
  17. 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
  18. Transferring Scientific English Pre-Trained Language Models to Multiple Languages Using Cross-Lingual TransferNatural Scientific Language Processing (NSLP) @ LRECNikolas Rauscher, Fabio Barth, Georg Rehm2026
  19. 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
  20. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  21. 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
  22. Assessing the Agreement Competence of Large Language ModelsAlba Táboas García, Leo Wanner2025
  23. 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
  24. Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal CorporaarXiv:2511.07080Khalil Hennara; Ahmad Bastati; Muhammad Hreden; Mohamed Motasim Hamed; Zeina Aldallal; Sara Chrouf;, Safwan AlModhayan2025
  25. 360Zhinao Technical ReportarXiv:2405.133862024
  26. 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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