Papers by Junmei Wang
GCIG: GraphRAG-based Cross-document Instruction Generation for Boosting LLM Reasoning (2026.findings-acl)
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| Challenge: | Existing methods for fine-tuning large language models struggle in knowledge-intensive domains and complex reasoning tasks due to their limited coverage of single-document knowledge and repetitive content. |
| Approach: | They propose a GraphRAG-based cross-document instruction generation framework that generates diverse questions through task-aware prompts and context-sensitive retrieval. |
| Outcome: | The proposed framework outperforms existing methods on knowledge-intensive and multi-hop question-answering tasks. |