---
title: "Who cites Few-Shot Text Generation with — 63 citing papers"
description: "63 papers of the Elamur Research library cite «Few-Shot Text Generation with Natural Language Instructions», found in their bibliographies…"
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---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Few-Shot Text Generation with Natural Language…](https://md.research.elamur.ai/free/en/papers/schick-2021-few-shot-text-generation-natural/) / cited by

# 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»](https://md.research.elamur.ai/free/en/papers/schick-2021-few-shot-text-generation-natural/)

1. **[Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor](https://md.research.elamur.ai/free/en/papers/honovich-2023-unnatural-instructions-tuning-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Or Honovich, Thomas Scialom, Omer Levy, et al.*2023 · 358 citations*
2. **[BRIO: Bringing Order to Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/liu-2022-brio-bringing-order-abstractive-summarization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Liu, Pengfei Liu, Dragomir Radev, et al.*2022 · 358 citations*
3. **[Reframing Instructional Prompts to GPTk's Language](https://md.research.elamur.ai/free/en/papers/mishra-2022-reframing-instructional-prompts-gptk-s/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Swaroop Mishra, Daniel Khashabi, Chitta Baral, et al.*2022 · 236 citations*
4. [**Generating Training Data with Language Models: Towards Zero-Shot Language Understanding arXiv:2202.04538**Yu Meng, Jiaxin Huang, Yu Zhang, et al.*2022 · 207 citations*](https://md.research.elamur.ai/free/en/papers/meng-2022-generating-training-data-language-models/)
5. **[GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models](https://md.research.elamur.ai/free/en/papers/prasad-2023-grips-gradient-free-edit-based/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Archiki Prasad, Peter Hase, Xiang Zhou, et al.*2023 · 182 citations*
6. [**Promptagator: Few-shot Dense Retrieval From 8 Examples arXiv:2209.11755**Zhuyun Dai, Vincent Y. Zhao, Ji Ma, et al.*2022 · 168 citations*](https://md.research.elamur.ai/free/en/papers/dai-2022-promptagator-few-shot-dense-retrieval/)
7. **[Dynamic Prefix-Tuning for Generative Template-based Event Extraction](https://md.research.elamur.ai/free/en/papers/liu-2022-dynamic-prefix-tuning-generative-template/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Liu, Heyan Huang, Ge Shi, et al.*2022 · 145 citations*
8. **[ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding](https://md.research.elamur.ai/free/en/papers/shaham-2023-zeroscrolls-zero-shot-benchmark-long/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Uri Shaham, Maor Ivgi, Avia Efrat, et al.*2023 · 129 citations*
9. **[Generative Data Augmentation with Contrastive Learning for Zero-Shot Stance Detection](https://md.research.elamur.ai/free/en/papers/li-2022-generative-data-augmentation-contrastive-learning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yang Li, Jiawei Yuan*2022 · 26 citations*

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

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