CBR²: A Case-Based Reasoning Framework with Dual Retrieval Guidance for Few-Shot KBQA

Recent advances in large language models (LLMs) have driven substantial progress in knowledge base question answering (KBQA), particularly under few-shot settings. However, symbolic program generation remains challenging due to its strict structural constraints and high sensitivity to generation err...

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Principais autores:	Xinyu Hu, Tong Li, Lingtao Xue, Zhipeng Du, Kai Huang, Gang Xiao, He Tang
格式:	Artigo
语言:	Inglês
出版:	MDPI AG 2026-01-01
丛编:	Big Data and Cognitive Computing
主题:	few-shot learning knowledge base question answering symbolic reasoning case-based reasoning prompt engineering retrieval-augmented generation
在线阅读:	https://www.mdpi.com/2504-2289/10/1/17
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