InterTab: Interleaved Visual-Structure Alignment for Multi-Modal Table Reasoning

arXiv:2609.32660 · cs.CV, cs.AI · Submitted 2026-09-26 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• Benchmark — 40× in this paper · explained in 2 episodes
• Accuracy — 27× in this paper · explained in 1 episode
• Alignment — 13× in this paper · explained in 1 episode
• Ablation — 6× in this paper · explained in 1 episode
• Grounding — 6× in this paper · explained in 3 episodes
• Reinforcement Learning — 5× in this paper · explained in 4 episodes
• Trace — 5× in this paper · explained in 2 episodes
• Active Localization Optimization — 4× in this paper
• Benchmarking — 3× in this paper · explained in 3 episodes
• Generative AI — 3× in this paper · explained in 2 episodes
• Interpretability — 3× in this paper · explained in 15 episodes
• LLM-as-a-Judge — 3× in this paper · explained in 3 episodes
• Multimodal Reasoning — 3× in this paper · explained in 5 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• LLM judge — 2× in this paper · explained in 2 episodes
• Reasoning Traces — 2× in this paper · explained in 3 episodes
• Two-stage training — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Active Perception — 1× in this paper · explained in 2 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 4 episodes
• Chain-of-Thought Prompting — 1× in this paper · explained in 2 episodes
• GRPO — 1× in this paper · explained in 6 episodes
• Group Relative Policy Optimization (GRPO) — 1× in this paper · explained in 5 episodes
• International Conference on Document Analysis and Recognition — 1× in this paper
• MLLM with Chain-of-Thought — 1× in this paper
• Regularization — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Supervised Structureaware Alignment — 1× in this paper
• Two-Stage Framework — 1× in this paper · explained in 2 episodes
• Two-Stage Training Strategy — 1× in this paper · explained in 3 episodes
• Visual Grounding — 1× in this paper · explained in 2 episodes

Sources

• Enhancing Large Vision-Language Models with Layout Modality for Table Question Answering on Japanese Annual Securities Reports
• TABLET: A Large-Scale Dataset for Robust Visual Table Understanding
• Qwen3-VL Technical Report
• Qwen2.5-VL Technical Report
• HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data
• HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
• INFOTABS: Inference on Tables as Semi-structured Data
• Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues?
• Unveiling Fine-Grained Visual Traces: Evaluating Multimodal Interleaved Reasoning Chains in Multimodal STEM Tasks
• Debias in Text, Believe Your Eyes: Text-Anchored Cross-Modal Transfer for Visual Counter-Commonsense Reasoning
• Seeing vs. Believing: Evaluating the Language Bias of Open-Source MLLMs in Counter-Intuitive Scenes
• Visual-TableQA: Open-Domain Benchmark for Reasoning over Table Images
• Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
• Ovis: Structural Embedding Alignment for Multimodal Large Language Model
• Ovis2.5 Technical Report
• Open-o3-Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence
• FeTaQA: Free-form Table Question Answering
• GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
• HIPPO: Enhancing the Table Understanding Capability of LLMs through Hybrid-Modal Preference Optimization
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

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