🧑‍🔬 Who cites Min Sun

181 citations of their works from 181 papers of our library (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← Min Sun

1. Instant Neural Graphics Primitives with a Multiresolution Hash EncodingarXiv:2201.05989 · ACM Trans. Graph. 41, 4, Article 102 (July 2022), 15 pagesThomas Muller, Alex Evans, Christoph Schied, et al.2022 · 4,353 citations
2. Evaluating the Factual Consistency of Abstractive Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Wojciech Kryscinski, Bryan McCann, Caiming Xiong, et al.2020 · 1,120 citations
3. Bottom-Up Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Sebastian Gehrmann, Yuntian Deng, Alexander Rush2018 · 947 citations
4. 4D Gaussian Splatting for Real-Time Dynamic Scene RenderingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionGuanjun Wu, Taoran Yi, Jiemin Fang, et al.2023 · 887 citations
5. Neural Text Summarization: A Critical EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, et al.2019 · 559 citations
6. HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Xingxing Zhang, Furu Wei, Ming Zhou2019 · 451 citations
7. Scaling Laws for Reward Model OveroptimizationarXiv:2210.10760Leo Gao, John Schulman, Jacob Hilton2022 · 323 citations
8. On Extractive and Abstractive Neural Document Summarization with Transformer Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jonathan Pilault, Raymond Li, Sandeep Subramanian, et al.2020 · 261 citations
9. Scoring Sentence Singletons and Pairs for Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, et al.2019 · 159 citations
10. What Have We Achieved on Text Summarization?Conference on Empirical Methods in Natural Language Processing (EMNLP)Dandan Huang, Leyang Cui, Sen Yang, et al.2020 · 143 citations
11. Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liyan Tang, Tanya Goyal, Alex Fabbri, et al.2023 · 126 citations
12. Comparing Approaches to Automatic Summarization in Less-Resourced LanguagesLanguage Resources and Evaluation Conference (LREC)Chester Palen-Michel, Constantine Lignos2026

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