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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 4 of 5 · 301–400 · ← Jan Kocon

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  1. Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
  2. MiMo-Audio: Audio Language Models are Few-Shot LearnersarXiv:2512.23808Xiaomi LLM-Core Team, Dong Zhang, Gang Wang, et al.2025 · 24 citations
  3. From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction TuningarXiv:2304.07995Qian Liu, Fan Zhou, Zhengbao Jiang, et al.2023 · 24 citations
  4. RWKV-7 "Goose" with Expressive Dynamic State EvolutionarXiv:2503.14456Bo Peng, Ruichong Zhang, Daniel Goldstein, et al.2025 · 23 citations
  5. COLLIE: Systematic Construction of Constrained Text Generation TasksarXiv:2307.08689Shunyu Yao, Howard Chen, Austin W. Hanjie, et al.2023 · 23 citations
  6. CodeI/O: Condensing Reasoning Patterns via Code Input-Output PredictionarXiv:2502.07316Junlong Li, Daya Guo, Dejian Yang, et al.2025 · 21 citations
  7. Language Models as Models of LanguagearXiv:2408.07144Raphael Milliere2024 · 21 citations
  8. Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal ReasoningarXiv:2310.03249Mohamed Aghzal, Erion Plaku, Ziyu Yao2023 · 21 citations
  9. The Vector Grounding ProblemarXiv:2304.01481Dimitri Coelho Mollo, Raphael Milliere2023 · 20 citations
  10. Ecologically Valid Explanations for Label Variation in NLIFindings of the Association for Computational LinguisticsNan-Jiang Jiang, Chenhao Tan, Marie-Catherine de Marneffe2023 · 19 citations
  11. Do Large Language Models Understand Word Senses?Domenico Meconi, Simone Stirpe, Federico Martelli2025 · 18 citations
  12. Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMsarXiv:2507.09477Yangning Li, Weizhi Zhang, Yuyao Yang, et al.2025 · 17 citations
  13. PL-MTEB: Polish Massive Text Embedding BenchmarkFindings of the Association for Computational LinguisticsRafał Poświata, Sławomir Dadas, Michał Wiktor Perełkiewicz2026 · 16 citations
  14. Linearizing Large Language ModelsarXiv:2405.06640Jean Mercat, Igor Vasiljevic, Sedrick Keh, et al.2024 · 16 citations
  15. The "LLM World of Words" English free association norms generated by large language modelsScientific DataKatherine Abramski, Riccardo Improta, Giulio Rossetti, et al.2024 · 16 citations
  16. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
  17. Rethinking Reflection in Pre-TrainingarXiv:2504.04022Essential AI: Darsh J Shah, Peter Rushton, Somanshu Singla, et al.2025 · 15 citations
  18. Natural Language Processing RELIES on LinguisticsComputational LinguisticsJuri Opitz, Shira Wein, Nathan Schneider2025 · 13 citations
  19. Base of RoPE Bounds Context LengtharXiv:2405.14591Xin Men, Mingyu Xu, Bingning Wang, et al.2024 · 12 citations
  20. Benchmarking LLaMA-3 on Arabic Language Generation TasksArabic Natural Language Processing Conference (ArabicNLP)Md Tawkat Islam Khondaker, Numaan Naeem, Fatimah Khan, et al.2024 · 12 citations
  21. How well can LLMs Grade Essays in Arabic?arXiv:2501.16516Rayed Ghazawi, Edwin Simpson2025 · 11 citations
  22. E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language ModelsarXiv:2401.15927Jinchang Hou, Chang Ao, Haihong Wu, et al.2024 · 11 citations
  23. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
  24. PanGu-π: Enhancing Language Model Architectures via Nonlinearity CompensationarXiv:2312.17276Yunhe Wang, Hanting Chen, Yehui Tang, et al.2023 · 10 citations
  25. When Your Language Model Cannot Even Do Determiners Right: Probing for Anti-Presuppositions and the Maximize Presupposition! PrincipleJudith Sieker, Sina Zarrieß2023 · 9 citations
  26. IOLBENCH: Benchmarking LLMs on Linguistic ReasoningarXiv:2501.04249Satyam Goyal, Soham Dan2025 · 8 citations
  27. Associative Recurrent Memory TransformerarXiv:2407.04841Ivan Rodkin, Yuri Kuratov, Aydar Bulatov, et al.2024 · 8 citations
  28. Just read twice: closing the recall gap for recurrent language modelsarXiv:2407.05483Simran Arora; Aman Timalsina; Aaryan Singhal; Benjamin Spector; Sabri Eyuboglu; Xinyi Zhao; Ashish Rao; Atri Rudra;, Christopher Re2024 · 8 citations
  29. PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language ModelsarXiv:2402.02791Yehui Tang, Kai Han, Fangcheng Liu, et al.2024 · 8 citations
  30. GRIN: GRadient-INformed MoEarXiv:2409.12136Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.2024 · 7 citations
  31. Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American EnglisharXiv:2503.04099Runtao Zhou, Guangya Wan, Saadia Gabriel, et al.2025 · 6 citations
  32. Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language ModelsarXiv:2412.15265Yingshui Tan, Boren Zheng, Baihui Zheng, et al.2024 · 4 citations
  33. MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context ModelingarXiv:2602.11761MiniCPM Team, Wenhao An, Yingfa Chen, et al.2026 · 2 citations
  34. MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
  35. CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language ModelsarXiv:2603.09993Jon Chun, Hannah Sussman, Adrian Mangine, et al.2026
  36. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
  37. EduBench: A Portuguese Benchmark for Open-Ended Discursive Question AnsweringLanguage Resources and Evaluation Conference (LREC)Pedro Henrique Paiola, Luís Gabriel Damiati Mendes, Bruno de Oliveira Monchelato, et al.2026

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