Papers by Alex Zhuang

1 papers
Few-shot In-context Learning on Knowledge Base Question Answering (2023.acl-long)

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Challenge: KB-BINDER enables few-shot in-context learning over knowledge base questions . KBQA is a difficult problem due to the heterogeneity of knowledge bases .
Approach: They propose a framework that enables few-shot in-context learning over KBQA tasks.
Outcome: The proposed framework can outperform state-of-the-art models on GraphQA and MetaQA datasets.

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