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Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
ACL 2026新研究，用分布外数据代理解决目标不可访问时的上下文示例检索，显著增强大模型ICL鲁棒性。
arXiv:2606.00014v1 Announce Type: cross Abstract: Although studies have demonstrated that Large Language Models (LLMs) can perform well on Out-of-Dist…