StrucTab: A Structured Optimization Framework for Table Parsing

arXiv:2606.29905 · cs.CV · Submitted 2026-06-29 · Read on arXiv

cs.CV

Submitted: 2026-06-29

Updated: 2026-09-27

Code: https://github.com/VirtualLUOUCAS/StrucTab

Terminology

• Benchmark — 36× in this paper · explained in 2 episodes
• GRPO — 7× in this paper · explained in 6 episodes
• Hallucination — 7× in this paper · explained in 3 episodes
• Consistency — 6× in this paper · explained in 3 episodes
• Reinforcement Learning — 6× in this paper · explained in 4 episodes
• Robustness — 6× in this paper · explained in 5 episodes
• Accuracy — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Structural Reasoning — 4× in this paper · explained in 2 episodes
• Structured Reasoning — 4× in this paper · explained in 3 episodes
• Verification — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 3 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Reinforcement Learning (RL) — 3× in this paper · explained in 25 episodes
• Unified Framework — 3× in this paper · explained in 5 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Transformer — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Group Relative Policy Optimization — 1× in this paper
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Scaffolding — 1× in this paper · explained in 3 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Task Decomposition — 1× in this paper · explained in 2 episodes
• Tree-Edit-Distance-based Similarity — 1× in this paper
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Sources

• Qwen3-VL Technical Report
• Qwen2.5-VL Technical Report
• Logics-Parsing Technical Report
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
• PaddleOCR 3.0 Technical Report
• DocPTBench: Benchmarking End-to-End Photographed Document Parsing and Translation
• PP-OCRv2: Bag of Tricks for Ultra Lightweight OCR System
• OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning
• TFLOP: Table Structure Recognition Framework with Layout Pointer Mechanism
• Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs
• Reasoning-Table: Exploring Reinforcement Learning for Table Reasoning
• Chronicles-OCR: A Cross-Temporal Perception Benchmark for the Evolutionary Trajectory of Chinese Characters
• dots.ocr: Multilingual Document Layout Parsing in a Single Vision-Language Model
• MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm
• MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
• ChartArena: Benchmarking Chart Parsing across Languages, Scenarios, and Formats
• Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs
• UniTable: Towards a Unified Framework for Table Recognition via Self-Supervised Pretraining
• olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models

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