---
title: "Who cites True Few-Shot Learning with — 35 citing papers"
description: "35 papers of the Elamur Research library cite «True Few-Shot Learning with Prompts–-A Real-World Perspective», found in their…"
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---
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# Who cites «True Few-Shot Learning with Prompts–-A Real-World Perspective»

35 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «True Few-Shot Learning with Prompts–-A Real-World Perspective»](https://md.research.elamur.ai/free/en/papers/schick-2022-true-few-shot-learning-prompts/)

1. **[Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning](https://md.research.elamur.ai/free/en/papers/liu-2022-few-shot-parameter-efficient-fine/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Haokun Liu, Derek Tam, Mohammed Muqeeth, et al.*2022 · 754 citations*
2. **[Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again](https://md.research.elamur.ai/free/en/papers/gutierrez-2022-thinking-about-gpt-3-context/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington, et al.*2022 · 180 citations*
3. **[Prompting Instruction-tuned LLMs for Semantic Similarity Values](https://md.research.elamur.ai/free/en/papers/snelder-2026-prompting-instruction-tuned-llms-semantic/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Xander Akiko Snelder, Yunchong Huang, Jelke Bloem*2026 · 2 citations*
4. **[Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors](https://md.research.elamur.ai/free/en/papers/zhao-2026-evaluating-robustness-large-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Raoyuan Zhao, Yihong Liu, Lena Altinger, et al.*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/schick-2022-true-few-shot-learning-prompts/) — True Few-Shot Learning with Prompts–-A Real-World Perspective
