Author

Gang Dai

South China University of Technology

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#artificial intelligence Preprint Sep 2026

Geometry-Aware Test-Time Learning for Quantitative Spatial Reasoning

Quantitative spatial reasoning in visual-language models (VLMs) aims to infer spatial distances and directional relationships among objects in 3D space from a 2D image and a natural language query. Despite recent progress, VLM spatial reasoning remains brittle under distribution shifts, largely due to the high cost of...

Ge-Ge Zhang, Shuai-Cheng Niu, Gang Dai et al. · 0 citations

#machine learning Review Sep 2026

A Survey on Self-Improving Test-Time Intelligence: Feedback-Driven Adapting, Learning, and Scaling at Inference

The ability of AI systems to improve their behavior during deployment is becoming increasingly important. As inference moves beyond the static execution of a fixed trained model, a growing body of work studies how models can refine their behavior on the fly by exploiting test-time information and additional computation...

Shuai-Cheng Niu, Guo-Hao Chen, Yaofo Chen et al. · 2 citations