Papers by Shouhui Wang
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. |