Research map / Probabilistic and scientific modeling / Molecules and proteins
LORE: Logical Location Regression Network for Table Structure Recognition
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add inter-cell supervision (ablation) | LORE · WTW | all logical indices accuracy: 79.4 -> 80.2; +0.8%Acc | Helped |
| Add intra-cell supervision (ablation) | LORE · WTW | all logical indices accuracy: 79.4 -> 81.2; +1.8%Acc | Helped |
| Add both inter-cell and intra-cell supervision (ablation) | LORE · WTW | all logical indices accuracy: 79.4 -> 82.9 | Helped |
| Replace self-attention encoder with graph-attention encoder (ablation) | LORE · WTW | all logical indices accuracy: 82.9 -> 77.0 | Hurt |
| Replace two cascading 3-layer regressors with one 6-layer regressor (ablation) | LORE · WTW | all logical indices accuracy: 82.9 -> 79.8; 3.1%Acc | Hurt |
| Use logical-location regression instead of adjacency classification and heuristic reconstruction | LORE paradigm · WTW | logical location accuracy of all cells: 51.9 -> 82.9 | Helped |
| Use logical-location regression instead of adjacency classification and heuristic reconstruction | LORE paradigm · WTW | logical location accuracy of spanning cells: 20.2 -> 63.8 | Helped |
Closest papers by meaning
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- Decoupling Skeleton and Flesh: Efficient Multimodal Table Reasoning with Disentangled Alignment and Structure-aware Guidance (ICML 2026 · similarity 0.85)
- TRivia: Self-supervised Fine-tuning of Vision-Language Models for Table Recognition (CVPR 2026 · similarity 0.84)
- TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding (ICLR 2026 · similarity 0.82)
- Multimodal Tabular Reasoning with Privileged Structured Information (NeurIPS 2025 · similarity 0.82)
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