AttnLink: Turning Attention into Schema Links for Text-to-SQL

arXiv:2608.00693 · cs.CL · Submitted 2026-08-01 · Read on arXiv

Jinwang Song, Tao Liu, Haowen Zheng, Xiangheng Li, Yifan Li, Hongying Zan

cs.CL

Submitted: 2026-08-01

Code: https://github.com/Songjw133/AttnLink

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

Terminology

• Text-to-SQL — 27× in this paper · explained in 4 episodes
• Generator — 24× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Grounding — 7× in this paper · explained in 3 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Benchmark — 4× in this paper · explained in 2 episodes
• Decoder — 4× in this paper · explained in 2 episodes
• Pruning — 4× in this paper · explained in 4 episodes
• Calibration — 3× in this paper · explained in 9 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Meeting of the Association for Computational Linguistics — 3× in this paper
• Strict Recall Rate — 3× in this paper
• Training Objective — 3× in this paper · explained in 3 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 14 episodes
• In-Context Learning — 2× in this paper · explained in 7 episodes
• Iterative Refinement — 2× in this paper · explained in 5 episodes
• Self-Consistency — 2× in this paper · explained in 3 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Ablation Study — 1× in this paper · explained in 3 episodes
• Augmentation — 1× in this paper · explained in 2 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Continuous Batching — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Cross-Dataset Transfer — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 8 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Knowledge Distillation — 1× in this paper · explained in 15 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Papers — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 6 episodes
• Transformers — 1× in this paper · explained in 2 episodes
• Weight Decay — 1× in this paper · explained in 2 episodes

Sources

• RSL-SQL: Robust Schema Linking in Text-to-SQL Generation
• Extractive Schema Linking for Text-to-SQL
• The Llama 3 Herd of Models
• Qwen2.5-Coder Technical Report
• vLLM Hook v0: A Plug-in for Programming Model Internals on vLLM
• CHESS: Contextual Harnessing for Efficient SQL Synthesis
• Qwen3.5-Omni Technical Report
• Qwen3 Technical Report
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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