🔗 Who cites «Few-Shot Text Generation with Natural Language Instructions»

63 papers of our library cite it (of the 141,840 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «Few-Shot Text Generation with Natural Language Instructions»

Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborAnnual Meeting of the Association for Computational Linguistics (ACL)Or Honovich, Thomas Scialom, Omer Levy, et al.2023 · 358 citations
BRIO: Bringing Order to Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu, Dragomir Radev, et al.2022 · 358 citations
Reframing Instructional Prompts to GPTk's LanguageFindings of the Association for Computational LinguisticsSwaroop Mishra, Daniel Khashabi, Chitta Baral, et al.2022 · 236 citations
1. Generating Training Data with Language Models: Towards Zero-Shot Language UnderstandingarXiv:2202.04538Yu Meng, Jiaxin Huang, Yu Zhang, et al.2022 · 207 citations
   GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Archiki Prasad, Peter Hase, Xiang Zhou, et al.2023 · 182 citations
2. Promptagator: Few-shot Dense Retrieval From 8 ExamplesarXiv:2209.11755Zhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.2022 · 168 citations
   Dynamic Prefix-Tuning for Generative Template-based Event ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Liu, Heyan Huang, Ge Shi, et al.2022 · 145 citations
   ZeroSCROLLS: A Zero-Shot Benchmark for Long Text UnderstandingFindings of the Association for Computational LinguisticsUri Shaham, Maor Ivgi, Avia Efrat, et al.2023 · 129 citations
   Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance DetectionConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Li, Jiawei Yuan2022 · 26 citations

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

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