The paper introduces DASD-4B-Thinking, a small (4B) open-source reasoning model that scores like much larger models on hard math, science, and coding tests.
This paper builds two teamwork models, Qwen3-VL-Embedding and Qwen3-VL-Reranker, that understand text, images, visual documents, and videos in one shared space so search works across all of them.
TimeBill is a way to help big AI models finish their answers on time without ruining answer quality.
Big vision-language models are super smart but too large to fit on phones and small devices.
Recursive transformers save memory by reusing the same layer over and over, but that makes them less expressive and hurts accuracy.
Fast-FoundationStereo is a stereo vision system that sees depth from two cameras in real time while still working well on brand‑new scenes it was never trained on.