Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context (2024.emnlp-industry)
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| Challenge: | GraphContextGen outperforms dominant text-based retrieval systems in domain specific community question answering platforms like AskUbuntu, Unix, and ServerFault. |
| Approach: | They propose a framework that combines graph-driven context retrieval with knowledge graphs based enhancement to improve the proficiency of LLMs. |
| Outcome: | The proposed framework outperforms dominant text-based retrieval systems in open-ended questions. |
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