Technology ❯ Artificial Intelligence

Model Performance

Benchmarking Comparative Analysis Benchmarks Reasoning Capabilities Benchmark Testing User Feedback Evaluation Metrics Rate Limits Parameter Count Comparison Cost Efficiency Context Window Limitation Parameter Impact Cost Analysis Sycophancy Context Engineering Language Understanding Product Development User Satisfaction Reasoning Systems Real-time Router Attack Strategies Error Reduction Incentive Structures Computational Efficiency Reasoning Levels Inference Scenarios Complexity Analysis MMLU Score Benchmark Comparisons Latency Efficiency Quality Issues Open Source Reasoning Techniques Large Language Models Reasoning Accuracy

PaddlePaddle Releases PaddleOCR-VL, a 0.9B Vision-Language Model for Multilingual Document Parsing

The 0.9B model pairs a NaViT-style visual encoder with an ERNIE-4.5-0.3B language model for multilingual document parsing across 109 languages, with SOTA results reported by the authors.