Beyond Tables: Doc2DB-Bench for Relationally Faithful Document-to-Database Construction

arXiv:2608.08459 · cs.CL, cs.AI, cs.DB · Submitted 2026-08-09 · Read on arXiv

Zhuowen Liang, Zhengxuan Zhang, Jiayang Wang, Jiazhuo Chen, Nan Tang

cs.CL, cs.AI, cs.DB

Submitted: 2026-08-09

Updated: 2026-08-11

Comments: 24 pages, 13 figures, 7 tables

Code: https://github.com/SetonLiang/Doc2DB-Bench

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

Terminology

• Benchmark — 37× in this paper · explained in 2 episodes
• Verification — 24× in this paper · explained in 2 episodes
• Consistency — 22× in this paper · explained in 3 episodes
• Integrity Constraint — 12× in this paper
• Accuracy — 10× in this paper · explained in 1 episode
• Fidelity — 9× in this paper · explained in 2 episodes
• Faithfulness — 8× in this paper · explained in 2 episodes
• Structural Reasoning — 6× in this paper · explained in 2 episodes
• Coherence — 4× in this paper · explained in 2 episodes
• Papers — 4× in this paper · explained in 3 episodes
• Verifier — 4× in this paper · explained in 2 episodes
• Benchmarking — 3× in this paper · explained in 4 episodes
• LLM-as-a-Judge — 3× in this paper · explained in 4 episodes
• Relationship Linking — 3× in this paper
• Text-to-SQL — 3× in this paper · explained in 4 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Feedback Loop — 2× in this paper · explained in 2 episodes
• Grounding — 2× in this paper · explained in 3 episodes
• Knowledge Base Construction — 2× in this paper · explained in 2 episodes
• Performance Gap — 2× in this paper · explained in 2 episodes
• Provenance — 2× in this paper · explained in 5 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Conference on Innovative Database Research — 1× in this paper
• Conformity — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Editor — 1× in this paper · explained in 2 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Evidence Faithfulness — 1× in this paper
• F1 Score — 1× in this paper · explained in 4 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Inflation — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 3 episodes
• Iterative Refinement — 1× in this paper · explained in 5 episodes
• Lexical Diversity — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Redundancy control — 1× in this paper · explained in 2 episodes
• Relationship Coverage — 1× in this paper
• Robustness — 1× in this paper · explained in 6 episodes
• Semantic Equivalence — 1× in this paper · explained in 2 episodes
• Structural Integrity — 1× in this paper · explained in 3 episodes
• Target Discrimination — 1× in this paper
• Trace — 1× in this paper · explained in 2 episodes
• Transformative Alignment — 1× in this paper

Sources

• Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering
• GPT-4o System Card
• StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation
• SemBench: A Benchmark for Semantic Query Processing Engines
• DataSpace: Benchmarking Data Agents for Verifiable Analytics over Heterogeneous Workspaces
• Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs
• DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing
• Challenges in Data-to-Document Generation
• DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence
• Qwen2.5 Technical Report
• QwenPaw-Data: Bridging Facts, Methodology, and Execution for Autonomous Enterprise Data Analytics
• DTBench: A Synthetic Benchmark for Document-to-Table Extraction

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