Chuangtao Ma

Excited to share that our survey paper "Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities" has been accepted to the #EMNLP2025 main conference. Preprint: arxiv.org/abs/2505.20099 Stay tuned for the camera-ready version.

priprint made available by my postdoc @DylanMa2018 "Cost-Efficient RAG for Entity Matching with LLMs: A Blocking-based Exploration" C. Ma, Z. Zhang, A. Khan, S. Schelter, @pgroth. We study: Can blocking help in LLM+RAG based entity matching? arxiv.org/pdf/2602.05708

Preprint of our survey "Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities" - C. Ma @DylanMa2018, Y. Chen, T. Wu, A. Khan, & H. Wang arxiv.org/pdf/2505.20099 -an extension of our #EDBT2025 tutorial machuangtao.github.io/LLM-KG4QA/tuto… #LLM #KG #QA

We're giving tutorial "Unifying Large Language Models and Knowledge Graphs for Question Answering: Recent Advances and Opportunities " -Chuangtao Ma @DylanMa2018, Yongrui Chen, Tianxing Wu, Arijit Khan, & Haofen Wang #EDBT2025 #EDBT25 doi.org/10.48786/edbt.… #LLM #KnowledgeGraph

We're giving tutorial "Unifying Large Language Models and Knowledge Graphs for Question Answering: Recent Advances and Opportunities " -Chuangtao Ma @DylanMa2018, Yongrui Chen, Tianxing Wu, Arijit Khan, & Haofen Wang #EDBT2025 #EDBT25 doi.org/10.48786/edbt.… #LLM #KnowledgeGraph

sharing the preprint of our work "Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching" arxiv.org/abs/2501.08686 #LLM #GraphRAG #KGRAG #SchemaMatching