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Who cites «Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations»

73 papers of our library cite it (of the 141,840 whose bibliographies we read) · 10 with a page here, the most cited first · ← back to «Ground-Truth Labels Matter: A Deeper Look into Input-Label Demonstrations»

  1. A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 959 citations
  2. Large Language Models Can Be Easily Distracted by Irrelevant ContextarXiv:2302.00093Freda Shi, Xinyun Chen, Kanishka Misra, et al.2023 · 525 citations
  3. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
  4. Many-Shot In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 134 citations

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

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