Papers by Shouhui Wang

1 papers
No Need for Large-Scale Search: Exploring Large Language Models in Complex Knowledge Base Question Answering (2024.lrec-main)

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Challenge: Knowledge Base Question Answering (KBQA) systems are a key research area in the field of natural language processing and information retrieval (IR).
Approach: They propose to use large language models to convert natural language questions to structured knowledge representations by using a three-step fine-tune strategy to implement the KBQA system.
Outcome: The proposed method achieves state-of-the-art performance across three datasets with a 79.9% F1 score.

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