Papers by Biswajit Chatterjee

1 papers
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning (2024.acl-long)

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Challenge: Existing Knowledge Base Question Answering (KBQA) architectures are expensive and time-consuming to deploy.
Approach: They propose a KBQA architecture that performs KB-retrieval using multiple source-trained retrievers and re-ranks using an LLM.
Outcome: The proposed architecture outperforms adaptations of SoTA KBQA models when training data is limited.

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