🧑‍🔬 Who cites Gaurav Sahu

93 citations of their works from 92 papers of our library (of the 149,439 whose bibliographies we read) · 16 with a page here, the most cited first · ← Gaurav Sahu

1. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyConference on Neural Information Processing Systems (NeurIPS)Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 706 citations
2. Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
3. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyFindings of the Association for Computational LinguisticsLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 237 citations
4. Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human InterventionsAnnual Meeting of the Association for Computational Linguistics (ACL)John Chung, Ece Kamar, Saleema Amershi2023 · 144 citations
5. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
6. PLACES: Prompting Language Models for Social Conversation SynthesisFindings of the Association for Computational LinguisticsMaximillian Chen, Alexandros Papangelis, Chenyang Tao, et al.2023 · 90 citations
7. A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models EasilyarXiv:2311.08268Peng Ding, Jun Kuang, Dan Ma, et al.2023 · 85 citations
8. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
9. AI4Research: A Survey of Artificial Intelligence for Scientific ResearchScience China Information SciencesQiguang Chen, Mingda Yang, Libo Qin, et al.2025 · 21 citations
10. Large Language Models for Automated Literature Review: An Evaluation of Reference Generation, Abstract Writing, and Review CompositionConference on Empirical Methods in Natural Language Processing (EMNLP)Xuemei Tang, Xufeng Duan, Zhenguang Cai2025 · 14 citations
11. 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
12. Hypothesis-only Biases in Large Language Model-Elicited Natural Language InferencearXiv:2410.08996Grace Proebsting, Adam Poliak2024 · 2 citations
13. Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tobias Schreieder, Tim Schopf, Michael Färber2026 · 1 citation
14. 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
15. How DDAIR you? Disambiguated Data Augmentation for Intent RecognitionConference of the European Chapter of the Association for Computational Linguistics (EACL)Galo Castillo-López, Alexis Lombard, Nasredine Semmar, et al.2026 · 1 citation
16. Biases in Large Language Model-Elicited Text: A Case Study in Natural Language InferenceInternational Conference on Computational Linguistics (COLING)Grace Proebsting, Adam Poliak2025 · 1 citation

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