🧑‍🔬 Who cites Evgeni Burovski

665 citations of their works from 659 papers of our library (of the 149,439 whose bibliographies we read) · 45 with a page here, the most cited first · ← Evgeni Burovski

1. Learning Transferable Visual Models From Natural Language SupervisionarXiv:2103.00020Alec Radford, Jong Wook Kim, Chris Hallacy, et al.2021 · 8,767 citations
2. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
3. Robust Speech Recognition via Large-Scale Weak SupervisionarXiv:2212.04356Alec Radford, Jong Wook Kim, Tao Xu, et al.2022 · 2,546 citations
4. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191Peng Wang, Shuai Bai, Sinan Tan, et al.2024 · 860 citations
5. Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and InferencearXiv:2412.13663Benjamin Warner, Antoine Chaffin, Benjamin Clavié, et al.2024 · 358 citations
6. Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified FlowarXiv:2209.03003Xingchao Liu, Chengyue Gong, Qiang Liu2022 · 315 citations
7. Large Language Monkeys: Scaling Inference Compute with Repeated SamplingarXiv:2407.21787Bradley Brown, Jordan Juravsky, Ryan Ehrlich, et al.2024 · 270 citations
8. Re-evaluating Evaluation in Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 259 citations
9. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
10. ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningarXiv:2212.07919Olga Golovneva, Moya Chen, Spencer Poff, et al.2022 · 155 citations
11. When Is Multilinguality a Curse? Language Modeling for 250 High- and Low-Resource LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Tyler A. Chang, Catherine Arnett, Zhuowen Tu, et al.2024 · 87 citations
12. What Do Self-Supervised Speech Models Know About Words?Transactions of the Association for Computational Linguistics (TACL)Ankita Pasad, Chung-Ming Chien, Shane Settle, et al.2024 · 51 citations
13. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
14. Similarities between Arabic Dialects: Investigating Geographical ProximityInformation Processing & ManagementAbdulkareem Alsudais, Wafa Alotaibi, Faye Alomary2021 · 42 citations
15. Kimi K3: Open Frontier IntelligencearXiv:2607.24653Kimi Team, Tongtong Bai, Yifan Bai, et al.2026 · 40 citations
16. EuroBERT: Scaling Multilingual Encoders for European LanguagesarXiv:2503.05500Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, et al.2025 · 34 citations
17. JetMoE: Reaching Llama2 Performance with 0.1M DollarsarXiv:2404.07413Yikang Shen, Zhen Guo, Tianle Cai, et al.2024 · 28 citations
18. Distillation Scaling LawsarXiv:2502.08606Dan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 26 citations
19. Hallucination Detection in LLMs Using Spectral Features of Attention MapsConference on Empirical Methods in Natural Language Processing (EMNLP)Jakub Binkowski, Denis Janiak, Albert Sawczyn, et al.2025 · 18 citations
20. DiBiMT: A Gold Evaluation Benchmark for Studying Lexical Ambiguity in Machine TranslationComputational LinguisticsFederico Martelli, Stefano Perrella, Niccolò Campolungo, et al.2025 · 11 citations
21. Speciesist Language and Nonhuman Animal Bias in English Masked Language ModelsInformation Processing & ManagementMasashi Takeshita, Rafal Rzepka, Kenji Araki2022 · 11 citations
22. Traditional Readability Formulas Compared for EnglisharXiv:2301.02975Bruce W. Lee, Jason Hyung-Jong Lee2023 · 9 citations
23. Are Formal and Functional Linguistic Mechanisms Dissociated in Language Models?Computational LinguisticsMichael Hanna, Yonatan Belinkov, Sandro Pezzelle2026 · 5 citations
24. Don't Trust Generative Agents to Mimic Communication on Social Networks Unless You Benchmarked their Empirical RealismConference of the European Chapter of the Association for Computational Linguistics (EACL)Simon Münker, Nils Schwager, Achim Rettinger2026 · 4 citations
25. Exploring the Structure of AI-Induced Language Change in Scientific EnglisharXiv:2506.21817 · The International FLAIRS Conference Proceedings (Vol. 38), 2025Riley Galpin, Bryce Anderson, Tom S. Juzek2025 · 4 citations
26. NonverbalTTS: A Public English Corpus of Text-Aligned Nonverbal Vocalizations with Emotion Annotations for Text-to-SpeecharXiv:2507.13155Maksim Borisov, Egor Spirin, Daria Diatlova2025 · 4 citations
27. Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded UpdatesAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, et al.2026 · 3 citations
28. GitChameleon 2.0: Evaluating AI Code Generation Against Python Library Version IncompatibilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Diganta Misra, Nizar Islah, Victor May, et al.2026 · 2 citations
29. Beyond Coherence: Improving Temporal Consistency and Interpretability in Dynamic Topic ModelsFindings of the Association for Computational LinguisticsThanh Vinh Nguyen, Ngo Van Dong, Minh Chu Xuan, et al.2026 · 1 citation
30. Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras2026 · 1 citation
31. NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongtao Miao, Kaiyan Zhao, Masaaki Nagata, et al.2026 · 1 citation
32. Team UBSE at SemEval-2026 Task 4: Adapting Generalist Embeddings for Narrative RepresentationsInternational Workshop on Semantic Evaluation (SemEval)Marius Marogel, Marius Popescu2026 · 1 citation
33. uogal at BEA 2026 Shared Task 1: Ensemble of Multilingual Encoders with NMT Augmentation for L1-Aware Vocabulary Difficulty PredictionWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Bernardo Stearns, John P. McCrae, Thomas Gaillat, et al.2026 · 1 citation
34. Why Did Apple Fall: Evaluating Curiosity in Large Language ModelsFindings of the Association for Computational LinguisticsHaoyu Wang, Sihang Jiang, Yuyan Chen, et al.2026 · 1 citation
35. Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian DialectDelphine Bernhard, Nathanaël Beiner, Barbara Hoff2025 · 1 citation
36. Detecting Sensitive Personal Information in Japanese Pre-Training Corpora for Large Language ModelsFindings of the Association for Computational LinguisticsRei Minamoto, Yusuke Oda, Daisuke Kawahara2026
37. Entity-Level Sentiment Analysis with Sentence Relevance DetectionLanguage Resources and Evaluation Conference (LREC)Egil Rønningstad, Roman Klinger, Lilja Øvrelid, et al.2026
38. eSciBench: An Extensible Scientific PDF Extraction BenchmarkLanguage Resources and Evaluation Conference (LREC)Noah Tremblay Taillon, Phillippe Langlais2026
39. Event Detection with a Context-Aware Encoder and LoRA for Improved Performance on Long-Tailed ClassesFindings of the Association for Computational LinguisticsAbdullah Al Monsur, Nitesh Vamshi Bommisetty, Gene Louis Kim2026
40. High-Throughput and Memory-Efficient Zeroth-Order Fine-tuning LLMs with Distributed Parallel ComputingFindings of the Association for Computational LinguisticsLiangyu Wang, Huanyi Xie, Di Wang2026
41. Non-literal Meaning Representation in the Brain during Naturalistic ListeningSociety for Computation in Linguistics (SCiL)Zhengwu Ma, Yuhan Huang, Chengcheng Wang, et al.2026
42. Parsing Nheengatu: Performance Gains for a Brazilian Indigenous Universal Dependencies TreebankInternational Conference on Computational Processing of PortugueseDominick Maia Alexandre, Leonel Figueiredo de Alencar2026
43. Rethinking Data Mixture for Large Language Models: A Comprehensive Survey and New PerspectivesFindings of the Association for Computational LinguisticsYajiao Liu, Congliang Chen, Junchi Yang, et al.2026
44. Transformers Learning Contrafactives: The Importance of Data DistributionsWorkshop on the Bridges and Gaps between Formal and Computational LinguisticsDavid Strohmaier, Simon Wimmer2026
45. What Do Vision–Language Models Encode for Personalized Image Aesthetics Assessment?Findings of the Association for Computational LinguisticsKoki Ryu, Hitomi Yanaka2026

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