Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models

no code implementations • 27 Feb 2024 • Yunpeng Huang, Yaonan Gu, Jingwei Xu, Zhihong Zhu, Zhaorun Chen, Xiaoxing Ma

As foundation models (FMs) continue to shape the landscape of AI, the in-context learning (ICL) paradigm thrives but also encounters issues such as toxicity, hallucination, disparity, adversarial vulnerability, and inconsistency.

Hallucination In-Context Learning