HANS: A Handwritten Answer Sheet Dataset for Noisy Hybrid Document Parsing

arXiv:2610.12363 · cs.AI, cs.CV · Submitted 2026-10-08 · Read on arXiv

cs.AI, cs.CV

Submitted: 2026-10-08

Updated: 2026-10-08

Terminology

• Benchmark — 10× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Attention Mechanism — 6× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Lightweight Noise Suppression Module — 4× in this paper
• Ablation study — 3× in this paper · explained in 1 episode
• Consistency — 3× in this paper · explained in 3 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Weighted Attention Correction — 2× in this paper
• Adaptability — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Entanglement — 1× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Noise Mask Head — 1× in this paper
• Structural Integrity — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• Qwen3-VL Technical Report
• Nougat: Neural Optical Understanding for Academic Documents
• PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing
• PaddleOCR 3.0 Technical Report
• FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents
• PP-StructureV2: A Stronger Document Analysis System
• MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm
• Focus Anywhere for Fine-grained Multi-page Document Understanding
• olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
• olmOCR 2: Unit Test Rewards for Document OCR
• MinerU: An Open-Source Solution for Precise Document Content Extraction
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
• General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
• DeepSeek-OCR: Contexts Optical Compression

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection