🔗 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»

1. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Haokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 754 citations
2. Thinking about GPT-3 In-Context Learning for Biomedical IE? Think AgainFindings of the Association for Computational LinguisticsBernal Jimenez Gutierrez, Nikolas McNeal, Clayton Washington, et al.2022 · 180 citations
3. Prompting Instruction-tuned LLMs for Semantic Similarity ValuesLanguage Resources and Evaluation Conference (LREC)Xander Akiko Snelder, Yunchong Huang, Jelke Bloem2026 · 2 citations
4. Evaluating Robustness of Large Language Models Against Multilingual Typographical ErrorsAnnual Meeting of the Association for Computational Linguistics (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.

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