Chain-of-illocution prompting improves source adherence in RAG explanations for programming education by up to 63% over baselines.
arXiv preprint arXiv:2404.05411 (2024)
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Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models
Chain-of-illocution prompting improves source adherence in RAG explanations for programming education by up to 63% over baselines.
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This survey introduces the C5 Interaction Model as a unifying taxonomy to synthesize proactive detection methods for GenAI-enabled adversarial narratives across socio-technical and computational research streams.