Who cites Peter Brusilovsky
- Neural Open Information ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Lei Cui, Furu Wei, Ming Zhou2018 · 188 citations
- Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and ParaphrasingarXiv:2305.16635Jaehun Jung, Peter West, Liwei Jiang, et al.2023 · 36 citations
- A New Direction in Stance Detection: Target-Stance Extraction in the WildAnnual Meeting of the Association for Computational Linguistics (ACL)Yingjie Li, Krishna Garg, Cornelia Caragea2023 · 25 citations
- Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language ModelsInternational Conference on Computational Linguistics (COLING)Mingyang Song, Mao Zheng, Xuan Luo2025 · 20 citations
- Diversity-oriented Data Augmentation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zaitian Wang, Jinghan Zhang, Xinhao Zhang, et al.2025 · 17 citations
- A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Tatiana Anikina, Jan Cegin, Jakub Simko, et al.2025 · 11 citations
- Arabic Keyphrase Extraction: Enhancing Deep Learning Models with Pre-trained Contextual Embedding and External FeaturesArabic Natural Language Processing Workshop (WANLP)Randah Alharbi, Husni Al-Muhtasab2022 · 3 citations
- Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual ClassificationFindings of the Association for Computational LinguisticsBranislav Pecher, Jan Cegin, Robert Belanec, et al.2026 · 1 citation
- MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, et al.2026 · 1 citation
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