Papers with Induction-Augmented Generation

1 papers
IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions (2023.emnlp-main)

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Challenge: Existing approaches to QA using retrieval-augmented knowledge are limited by limited coverage and noisy information.
Approach: They propose an induction-augmented generation framework that utilizes inductive knowledge along with retrieved documents for implicit reasoning.
Outcome: The proposed framework outperforms RAG and ChatGPT on two Open-Domain QA tasks.

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