🧑‍🔬 Who cites Zakhar Shumaylov

206 citations of their works from 201 papers of our library (of the 149,439 whose bibliographies we read) · 59 with a page here, the most cited first · ← Zakhar Shumaylov

1. Llama 2: Open Foundation and Fine-Tuned Chat ModelsarXiv:2307.09288Hugo Touvron, Louis Martin, Kevin Stone, et al.2023 · 9,669 citations
2. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
3. HuatuoGPT, Towards Taming Language Model to Be a DoctorFindings of the Association for Computational LinguisticsHongbo Zhang, Junying Chen, Feng Jiang, et al.2023 · 282 citations
4. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 277 citations
5. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
6. Reinforced Self-Training (ReST) for Language ModelingarXiv:2308.08998Caglar Gulcehre, Tom Le Paine, Srivatsan Srinivasan, et al.2023 · 224 citations
7. Will we run out of data? Limits of LLM scaling based on human-generated dataarXiv:2211.04325Pablo Villalobos, Anson Ho, Jaime Sevilla, et al.2022 · 198 citations
8. Aya Expanse: Combining Research Breakthroughs for a New Multilingual FrontierarXiv:2412.04261John Dang, Shivalika Singh, Daniel D'souza, et al.2024 · 184 citations
9. Scaling Synthetic Data Creation with 1,000,000,000 PersonasarXiv:2406.20094Tao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 171 citations
10. Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production TasksarXiv:2306.07899Veniamin Veselovsky, Manoel Horta Ribeiro, Robert West2023 · 127 citations
11. On the Reliability of Watermarks for Large Language ModelsarXiv:2306.04634John Kirchenbauer, Jonas Geiping, Yuxin Wen, et al.2023 · 103 citations
12. Training Socially Aligned Language Models on Simulated Social InteractionsarXiv:2305.16960Ruibo Liu, Ruixin Yang, Chenyan Jia, et al.2023 · 94 citations
13. Rephrasing the Web: A Recipe for Compute and Data-Efficient Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Pratyush Maini, Skyler Seto, Richard Bai, et al.2024 · 90 citations
14. Alignment for HonestyConference on Neural Information Processing Systems (NeurIPS)Yuqing Yang, Ethan Chern, Xipeng Qiu, et al.2023 · 90 citations
15. Mapping the Increasing Use of LLMs in Scientific PapersarXiv:2404.01268Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.2024 · 89 citations
16. HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMsarXiv:2412.18925Junying Chen, Zhenyang Cai, Ke Ji, et al.2024 · 87 citations
17. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
18. O1 Replication Journey: A Strategic Progress Report — Part 1arXiv:2410.18982Yiwei Qin, Xuefeng Li, Haoyang Zou, et al.2024 · 86 citations
19. GPTEval: A Survey on Assessments of ChatGPT and GPT-4Language Resources and Evaluation Conference (LREC)Rui Mao, Guanyi Chen, Xulang Zhang, et al.2024 · 75 citations
20. RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement LearningarXiv:2504.20073Zihan Wang, Kangrui Wang, Qineng Wang, et al.2025 · 71 citations
21. DARWIN Series: Domain Specific Large Language Models for Natural SciencearXiv:2308.13565Tong Xie, Yuwei Wan, Wei Huang, et al.2023 · 55 citations
22. Prompting Multilingual Large Language Models to Generate Code-Mixed Texts: The Case of South East Asian LanguagesarXiv:2303.13592Zheng-Xin Yong, Ruochen Zhang, Jessica Zosa Forde, et al.2023 · 48 citations
23. Do Large Language Models have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhu Guo, Simone Conia, Zelin Zhou, et al.2025 · 25 citations
24. MoRAL: MoE Augmented LoRA for LLMs' Lifelong LearningarXiv:2402.11260Shu Yang; Muhammad Asif Ali; Cheng-Long Wang; Lijie Hu;, Di Wang2024 · 21 citations
25. A Survey of Post-Training Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hanyu Lai, Xiao Liu, Junjie Gao, et al.2025 · 18 citations
26. Preference Optimization for Reasoning with Pseudo FeedbackarXiv:2411.16345Fangkai Jiao, Geyang Guo, Xingxing Zhang, et al.2024 · 15 citations
27. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
28. Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual ProgressarXiv:2408.14960Ayomide Odumakinde, Daniel D'souza, Pat Verga, et al.2024 · 12 citations
29. Superficial Self-Improved Reasoners Benefit from Model MergingConference on Empirical Methods in Natural Language Processing (EMNLP)Xiangchi Yuan, Chunhui Zhang, Zheyuan Liu, et al.2025 · 8 citations
30. Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Anshumann, Mohd Abbas Zaidi, Akhil Kedia, et al.2025 · 6 citations
31. Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generationConference of the European Chapter of the Association for Computational Linguistics (EACL)Thomas F Burns, Letitia Parcalabescu, Stephan Waeldchen, et al.2026 · 4 citations
32. Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken EnglishProceedings of the AAAI/ACM Conference on AI Ethics and SocietyBryce Anderson, Riley Galpin, Tom S. Juzek2025 · 4 citations
33. MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data SynthesisFindings of the Association for Computational LinguisticsZixiong Yu, Jun Rao, Guhan Chen, et al.2026 · 3 citations
34. Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical AdoptionFindings of the Association for Computational LinguisticsYepeng Liu, Xuandong Zhao, Dawn Song, et al.2026 · 2 citations
35. The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language ModelsFindings of the Association for Computational LinguisticsKonrad Löhr, Shuzhou Yuan, Michael Färber2026 · 2 citations
36. Automatic Machine Translation Detection Using a Surrogate Multilingual Translation ModelTransactions of the Association for Computational Linguistics (TACL)Cristian García-Romero, Miquel Esplà-Gomis, Felipe Sánchez-Martínez2026 · 1 citation
37. DemMA: Dementia Multi-Turn Dialogue Agent with Expert-Guided Reasoning and Action SimulationFindings of the Association for Computational LinguisticsYutong Song, Jiang Wu, Kazi Shaharair Sharif, et al.2026 · 1 citation
38. Easy Samples Are All You Need: Self-Evolving LLMs via Data-Efficient Reinforcement LearningFindings of the Association for Computational LinguisticsZhiyin Yu, Bo Zhang, Qibin Hou, et al.2026 · 1 citation
39. Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Yinuo Xu, Veronica Derricks, Allison Earl, et al.2026 · 1 citation
40. Topic-Based Watermarks for Large Language ModelsFindings of the Association for Computational LinguisticsAlexander Nemecek, Yuzhou Jiang, Erman Ayday2026 · 1 citation
41. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and SolutionsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyin Yu, Yuchen Mou, Juncheng Yan, et al.2026
42. Data Pollination: An Emergent Ecological Process Driving AI Population EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Shufang Xie, Qizhi Pei, Ang Lv, et al.2026
43. Diversity and Homogenisation in Generative AI Translation: A Comparative Study of English-Dutch Translation Across DomainsAnnual Conference of the European Association for Machine Translation (EAMT)Dimitar Shterionov, Noa van Helleman, Eva Vanmassenhove2026
44. EpiCaR: Knowing What You Don't Know Matters for Better Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jewon Yeom, Jaewon Sok, Seonghyeon Park, et al.2026
45. GCIG: GraphRAG-based Cross-document Instruction Generation for Boosting LLM ReasoningFindings of the Association for Computational LinguisticsXiaoliang Xu, Huang Yuan, Junmei Wang, et al.2026
46. GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and GeneratorsLanguage Resources and Evaluation Conference (LREC)Manuel Schaaf, Kevin Bönisch, Alexander Mehler2026
47. Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical DistributionsAnnual Meeting of the Association for Computational Linguistics (ACL)Minda Zhao, Yilun Du, Mengyu Wang2026
48. Legal Considerations in the Use of Synthetic Data for AI Development and Finetuning: The Case of LLMs4EUJoint Workshop on Legal and Ethical Issues in Human Language Technologies and Computational Approaches to Language Data Pseudonymization, Anonymization, De-identification, and Data Privacy @ LRECKossay Talmoudi, Khalid Choukri, Amélie Gourgeot, et al.2026
49. Losing our Tail, Again: (Un)Natural Selection & Multilingual LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Eva Vanmassenhove2026
50. 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
51. 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
52. Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language ModelingarXiv:2604.28075Ansar Aynetdinov, Patrick Haller, Alan Akbik2026
53. Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Dayu Wang, Jiaye Yang, Weikang Li, et al.2026
54. Synthetic Data Generation for Training Diversified Commonsense Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianhui Zhang, Bei Peng, Danushka Bollegala2026
55. Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-TuningFindings of the Association for Computational LinguisticsMax Schaffelder, Albert Gatt2026
56. Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note ScaleBioNLPJinghui Liu, Sarvesh Soni, Anthony Nguyen2026
57. Task-Aware LLM Routing with Multi-Level Task-Profile-Guided Data Synthesis for Cold-Start ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Liu, Bin Zou, Kecheng Chen, et al.2026
58. The Broken Telephone Changes Tone: Examining Nuanced Linguistic Cues in LLM Chains-of-TranslationWorkshop on Multilinguality in the Era of Large Language ModelsQuang Minh Nguyen, Maida Aizaz, Braahmi Padmakumar2026
59. The Generator-Eraser Paradox: Community Guidelines for Responsible LLM-Assisted Dialect Resource CreationWorkshop on Dialects in NLP –- A Resource PerspectiveWajdi Zaghouani2026

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