2025
To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach
EMNLP 2025
Recently, textual graph-based retrieval-augmented generation (GraphRAG) has gained popularity for addressing hallucinations in large language models when answering domain-specific questions. Most existing studies assume that generated answers should comprehensively integrate all relevant information