PrismAlign: Prior-Steered Multi-View VLM Alignment for Hallucination-Robust Table OCR

arXiv:2609.21351 · cs.CV · Submitted 2026-09-18 · Read on arXiv

cs.CV

Submitted: 2026-09-18

Updated: 2026-09-18

Code: https://github.com/google/adk-python

Terminology

• Alignment — 15× in this paper · explained in 1 episode
• Hallucination — 10× in this paper · explained in 3 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Transformer — 4× in this paper · explained in 2 episodes
• Decoupling — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Homogeneity — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Vision-language models — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Agent Memory — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 3 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Knowledge Graph — 1× in this paper · explained in 7 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Modularity — 1× in this paper · explained in 9 episodes
• Optical Character Recognition — 1× in this paper
• Sparsity — 1× in this paper · explained in 4 episodes
• Two-Stage Architecture — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• DianJin-OCR-R1: Enhancing OCR Capabilities via a Reasoning-and-Tool Interleaved Vision-Language Model
• PaddleOCR-VL-1.5: Towards a Multi-Task 0.9B VLM for Robust In-the-Wild Document Parsing
• PaddleOCR 3.0 Technical Report
• DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting
• dots.ocr: Multilingual Document Layout Parsing in a Single Vision-Language Model
• MonkeyOCR v1.5 Technical Report: Unlocking Robust Document Parsing for Complex Patterns
• How Far Is Document Parsing from Solved? PureDocBench: A Source-Traceable Benchmark across Clean, Degraded, and Real-World Settings
• Focus Anywhere for Fine-grained Multi-page Document Understanding
• MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
• OmniDocBench: Benchmarking Diverse PDF Document Parsing with Comprehensive Annotations
• olmOCR 2: Unit Test Rewards for Document OCR
• Zep: A Temporal Knowledge Graph Architecture for Agent Memory
• Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing
• General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
• DeepSeek-OCR: Contexts Optical Compression
• DeepSeek-OCR 2: Visual Causal Flow
• Qwen3 Technical Report
• CC-OCR: A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models