🔗 Who cites «Do Massively Pretrained Language Models Make Better Storytellers?»

79 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · ← back to «Do Massively Pretrained Language Models Make Better Storytellers?»

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
2. On Faithfulness and Factuality in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Joshua Maynez, Shashi Narayan, Bernd Bohnet, et al.2020 · 1,857 citations
3. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
4. Automatic Detection of Generated Text is Easiest when Humans are FooledAnnual Meeting of the Association for Computational Linguistics (ACL)Daphne Ippolito, Daniel Duckworth, Chris Callison-Burch, et al.2019 · 411 citations
5. Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseConference on Neural Information Processing Systems (NeurIPS)Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.2023 · 310 citations
6. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
7. Enabling Language Models to Fill in the BlanksAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Donahue, Mina Lee, Percy Liang2020 · 209 citations
8. Locally Typical SamplingTransactions of the Association for Computational Linguistics (TACL)Clara Meister, Tiago Pimentel, Gian Wiher, et al.2023 · 157 citations
9. A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Liu, Yizhe Zhang, Chris Brockett, et al.2022 · 142 citations
10. TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text GenerationFindings of the Association for Computational LinguisticsAdaku Uchendu, Zeyu Ma, Thai Le, et al.2021 · 140 citations
11. Building and Evaluating Open-Domain Dialogue Corpora with Clarifying QuestionsConference on Empirical Methods in Natural Language Processing (EMNLP)Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, et al.2021 · 111 citations
12. Does Writing with Language Models Reduce Content Diversity?arXiv:2309.05196Vishakh Padmakumar, He He2023 · 82 citations
13. Assessing Discourse Relations in Language Generation from GPT-2International Natural Language Generation Conference (INLG)Wei-Jen Ko, Junyi Jessy Li2020 · 30 citations
14. Suri: Multi-constraint Instruction Following in Long-form Text GenerationFindings of the Association for Computational LinguisticsChau Minh Pham, Simeng Sun, Mohit Iyyer2024 · 19 citations

65 more papers of our library cite it; they have no page here yet.

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