Papers with self-correction loop
InteracSPARQL : An Interactive System for SPARQL Query Refinement Using Natural Language Explanations (2026.findings-acl)
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| Challenge: | Existing approaches for SPARQL generation rely on one-turn models. |
| Approach: | They propose a training-free interactive refinement pipeline that acts as a plug-and-play enhancement for existing SPARQL systems. |
| Outcome: | The proposed approach improves the accuracy of base models without fine-tuning . it transforms potentially flawed queries from any source into verifiable code . |