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Chuangtao Ma

1 accepted papers

2025

Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities

EMNLP 2025

Large language models (LLMs) have demonstrated remarkable performance on question-answering (QA) tasks because of their superior capabilities in natural language understanding and generation. However, LLM-based QA struggles with complex QA tasks due to poor reasoning capacity, outdated knowledge, an