First-Divergence Consequence Analysis for masked visual generators: theory, audited coupling/instrumentation, and reproducible quantization-shock experiments.
-
Updated
Aug 16, 2026 - Python
First-Divergence Consequence Analysis for masked visual generators: theory, audited coupling/instrumentation, and reproducible quantization-shock experiments.
Efficient Vision-Language Model inference and LoRA fine-tuning on ScienceQA, with dynamic resolution, visual-token compression, latency analysis, and accuracy–efficiency trade-offs using Qwen3.5-0.8B.
End-to-end break-even evaluation for visual-token reduction in multimodal inference
Add a description, image, and links to the visual-tokens topic page so that developers can more easily learn about it.
To associate your repository with the visual-tokens topic, visit your repo's landing page and select "manage topics."