🧑‍🔬 Who cites Irina Piontkovskaya

72 citations of their works from 72 papers of our library (of the 149,439 whose bibliographies we read) · 20 with a page here, the most cited first · ← Irina Piontkovskaya

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
3. Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisFindings of the Association for Computational LinguisticsWenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.2024 · 506 citations
4. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
5. A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and ValidationArtificial Intelligence ReviewXiaowei Huang, Wenjie Ruan, Wei Huang, et al.2023 · 199 citations
6. Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated TextarXiv:2401.12070Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, et al.2024 · 120 citations
7. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer ReviewsarXiv:2403.07183Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.2024 · 119 citations
8. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
9. Mapping the Increasing Use of LLMs in Scientific PapersarXiv:2404.01268Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.2024 · 89 citations
10. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesarXiv:2407.13623Chaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 46 citations
11. SarcasmBench: Towards Evaluating Large Language Models on Sarcasm UnderstandingarXiv:2408.11319Yazhou Zhang, Chunwang Zou, Zheng Lian, et al.2024 · 35 citations
12. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language ModelsarXiv:2305.10263Chuang Liu, Renren Jin, Yuqi Ren, et al.2023 · 34 citations
13. PanGu-π: Enhancing Language Model Architectures via Nonlinearity CompensationarXiv:2312.17276Yunhe Wang, Hanting Chen, Yehui Tang, et al.2023 · 10 citations
14. PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language ModelsarXiv:2402.02791Yehui Tang, Kai Han, Fangcheng Liu, et al.2024 · 8 citations
15. TransformerTrio at SemEval-2026 Task 13: Navigating Domain Shift and Representation Instability in Machine-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Avi Patel, Manthan Laddha, Pushti Sapovadiya, et al.2026 · 1 citation
16. Śmigiel Dataset: Laying Foundations for Investigating Machine-Generated Text Detection in PolishLanguage Resources and Evaluation Conference (LREC)Jakub Strebeyko, Alina Wróblewska, Piotr Przybyła2026 · 1 citation
17. CodeRipple: Wavelet-Based Detection of LLM-Generated CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Yao, Zhendong Mao, Quan Wang2026
18. GigaCheck: Detecting LLM-generated Content via Object-Centric Span LocalizationFindings of the Association for Computational LinguisticsIrina Tolstykh, Aleksandra Tsybina, Sergey Yakubson, et al.2026
19. Unveiling Intrinsic Dimension of Texts: from Academic Abstract to Creative StoryConference of the European Chapter of the Association for Computational Linguistics (EACL)Pedashenko Vladislav, Laida Kushnareva, Yana Khassan Nibal, et al.2026
20. Verifiable LLM-Generated Text Detection via Projected Semantic-Structural DistributionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochong Xiong, Qien Li, Wangwang Lian, et al.2026

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