---
title: "Who cites The Learnability of In-Context — 33 citing papers"
description: "33 papers of the Elamur Research library cite «The Learnability of In-Context Learning», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/wies-2023-learnability-context-learning/cited-by/"
---
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# Who cites «The Learnability of In-Context Learning»

33 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «The Learnability of In-Context Learning»](https://md.research.elamur.ai/free/en/papers/wies-2023-learnability-context-learning/)

1. **[A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,875 citations*
2. [**A Survey on In-context Learning arXiv:2301.00234**Qingxiu Dong, Lei Li, Damai Dai, et al.*2023 · 978 citations*](https://md.research.elamur.ai/free/en/papers/dong-2023-survey-context-learning/)
3. [**Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations arXiv:2310.06387**Zeming Wei, Yifei Wang, Ang Li, et al.*2023 · 130 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-jailbreak-guard-aligned-language-models/)
4. [**Fundamental Limitations of Alignment in Large Language Models arXiv:2304.11082**Yotam Wolf, Noam Wies, Oshri Avnery, et al.*2023 · 114 citations*](https://md.research.elamur.ai/free/en/papers/wolf-2023-fundamental-limitations-alignment-large-language/)
5. [**Baichuan-M2: Scaling Medical Capability with Large Verifier System arXiv:2509.02208**Chengfeng Dou, Chong Liu, Fan Yang, et al.*2025 · 19 citations*](https://md.research.elamur.ai/free/en/papers/team-2025-m2-baichuan-m2-scaling-medical/)
6. **[When Efficiency Becomes a Vulnerability: Computational Cost Attacks on WebAgents](https://md.research.elamur.ai/free/en/papers/ning-2026-when-efficiency-becomes-vulnerability-computational/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang-Bo Ning, Yuchen Zhu, Heqing Huang, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/wies-2023-learnability-context-learning/) — The Learnability of In-Context Learning