GGC: Selective Query Correction for Reliable Text-to-SPARQL Generation

arXiv:2607.28082 · cs.CL · Submitted 2026-07-30 · Read on arXiv

Ziyi Yang, Thanh-Son Nguyen, Tuan Anh Nguyen, Lihui Chen

cs.CL

Submitted: 2026-07-30

Comments: 18 pages, 1 figure

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Generator — 97× in this paper · explained in 2 episodes
• Accuracy — 34× in this paper · explained in 1 episode
• Actor — 20× in this paper · explained in 3 episodes
• Knowledge Graph — 15× in this paper · explained in 8 episodes
• Composition — 13× in this paper · explained in 2 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Knowledge graphs — 8× in this paper · explained in 2 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Transformers — 6× in this paper · explained in 2 episodes
• Text-to-SQL — 5× in this paper · explained in 4 episodes
• Ablation Studies — 4× in this paper · explained in 1 episode
• F1 Score — 3× in this paper · explained in 4 episodes
• Language Models (LLMs) — 3× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 9 episodes
• Ablation Study — 2× in this paper · explained in 3 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Core — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Query Graph Generation — 2× in this paper
• Weight Decay — 2× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Multi-hop Reasoning — 1× in this paper · explained in 3 episodes
• Papers — 1× in this paper · explained in 3 episodes
• QLoRA — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Semantic Correctness — 1× in this paper · explained in 2 episodes
• Verifiability — 1× in this paper · explained in 3 episodes

Sources

• Evaluating Large Language Models Trained on Code
• The Llama 3 Herd of Models
• RoBERTa: A Robustly Optimized BERT Pretraining Approach

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