作者位次 #2/3ICLR 2026Poster· Applications / Language, Speech and Dialog
Enhancing LLMs for Knowledge Base Question Answering by Chain-of-Decomposition
Yonggang Zhang · Jianqi Gao · Jie Lu
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Yonggang Zhang · Jianqi Gao · Jie Lu
Jianqi Gao · Hang Yu · Jian Cao · Ranran Bu · Jinghua Tang · Nengjun Zhu · Yonggang Zhang
Knowledge Base Question Answering (KBQA) aims to retrieve accurate answers to natural language queries by retrieving and reasoning over large-scale structured knowledge bases (KBs). Advanced semantic parsing-based methods promoted by large language models (LLMs) demonstrate superior performance b...
Ranran Bu · Jian Cao · Jianqi Gao · Jinghua Tang · Shiyou Qian · Hongming Cai
Knowledge base question answering (KBQA) aims to answer natural language questions using large-scale knowledge bases (KBs). Among various KBQA approaches, semantic parsing-based (SP-based) methods have demonstrated strong effectiveness by generating concise logical forms (LFs) that capture comple...