Adaptive Text2GQL: Integrating Structural Twig Linking and Evolutionary In-Context Learning (2026.acl-long)
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| Challenge: | Existing approaches struggle with structural hallucinations and lack adaptability in cold-start scenarios. |
| Approach: | They propose a unified, training-free framework for translating natural language into Graph Query Languages. |
| Outcome: | The proposed framework improves accuracy and executability over baselines in Graph2GQLs. |
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