Autonomous Qwen3-VL training-code research on the official DocVQA benchmark. main: NVIDIA multi-GPU, mlx: Apple Silicon/MPS.
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Updated
Jun 14, 2026 - Python
Autonomous Qwen3-VL training-code research on the official DocVQA benchmark. main: NVIDIA multi-GPU, mlx: Apple Silicon/MPS.
99.156% Accuracy from Agentic Document Extraction DPT-2 model on DocVQA val split
Reproducible framework for document-centric VLM robustness and claim-faithfulness evaluation.
Quasar PoC, Multitenant PoC.
可審計配置驅動的視覺語言模型(VLM)文件理解評測基準(DocVQA / ChartQA / CORD-v2)—— 內建 2,000 筆去識別化數據與完整離線重算驗證門禁。
Config-driven long-context benchmark toolkit for vision-language models
Open multimodal evaluation harness for Xiaomi MiMo
The repository host codes, link to datasets and models for our research paper. In this paper we have developed a novel approach that can perform DocVQA, RCVQA and MathVQA tasks.
Document XAI Model for DocVQA. Official implementation of "Towards Self-Explainable DocVQA with Chain-of-Explanation Predictions". Submitted to NeurIPS 2026
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