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Who cites Jan Kocon

1,601 citations of their works from 1,569 papers of our library (of the 149,439 whose bibliographies we read) · 421 with a page here, the most cited first · page 5 of 5 · 401–421 · ← Jan Kocon

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  1. How to Improve LLMs' Performance on Specific Languages: A Perspective on LLM-Derived Language SimilarityAnnual Meeting of the Association for Computational Linguistics (ACL)Xinhe Shi, Qingcheng Zeng, Weihao Xuan, et al.2026
  2. Identifying Collective Intelligence Factor in LLM Agent Groups for Generalizable Multi-Agent System DesignFindings of the Association for Computational LinguisticsZhilun Zhou, Zihan Liu, Jiahe Liu, et al.2026
  3. Improving Chain-of-Thought for Logical Reasoning via Attention-Aware InterventionFindings of the Association for Computational LinguisticsPhuong Minh Nguyen, Dang Huu-Tien, Naoya Inoue2026
  4. Letters hide the truth from our eyes: English homophones have meaningfully different phonetic realizationsarXiv:2608.26749Yu-Hsiang Tseng, Mirjam T. C. Ernestus, Louis F. M. ten Bosch, et al.2026
  5. 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
  6. LLM surprisal is necessary but not sufficient to capture English garden-path effects: Evidence from joint latent modeling of reading paradigmsarXiv:2602.04489Dario Paape, Tal Linzen, Shravan Vasishth2026
  7. Lunar-Bench: Towards Evaluating Task-Oriented Reasoning of LLMs in Lunar Exploration ScenariosFindings of the Association for Computational LinguisticsXin-Yu Xiao, Ye Tian, Erwei Yin, et al.2026
  8. Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Ayan Sar, Pranav Singh Puri, Sumit Aich, et al.2026
  9. Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT ModelsLanguage Resources and Evaluation Conference (LREC)Gyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee2026
  10. Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-MakingLanguage Resources and Evaluation Conference (LREC)Katsumasa Yoshikawa, Junya Takayama, Takato Yamazaki2026
  11. PibE-MPP: A Play-it-by-Ear Masking Performance Plug-in for LLMsFindings of the Association for Computational LinguisticsMengwei Wang, Simin Niu, Xun Liang, et al.2026
  12. Polite but Misaligned: Evaluating LLM Politeness Judgments Against Human Pragmatic NormsEMNLP2026Rong Wang; Kun Sun;, Yadong Guo2026
  13. PrefRAG: Correcting Semantic Errors in Auto-Formalization for Logical Reasoning with Program Preference RAGFindings of the Association for Computational LinguisticsYuyin Zhou, Yongmei Liu2026
  14. SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanxiao Zhao, Yaqian Li, Zihao Bo, et al.2026
  15. Sentiment Analysis and Language Models for KwanyamaLanguage Resources and Evaluation Conference (LREC)Ndapa Nakashole2026
  16. Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Deepak Pandita, Christopher M. Homan2026
  17. TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.2026
  18. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  19. ZIP: Quantifying Which Words Matter in Zero-Shot Instructional PromptsJoint Conference on Lexical and Computational Semantics (*SEM)Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.2026
  20. DeformAr: Rethinking NER Evaluation through Component Analysis and Visual AnalyticsarXiv:2512.00938Ahmed Mustafa Younes2025
  21. Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.2024

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