Socratic-Geo is proposed, a fully autonomous framework that dynamically couples data synthesis with model learning through multi-agent interaction, and establishes new state-of-the-art for open-source models, sur-passing strong baselines.
This work proposes MetaReason, a framework for multimodal reasoning in plane geometry that leverages structured meta-information to enable accurate auxiliary-line construction and demonstrates that MetaReason significantly outperforms existing open-source models and achieves competitive performance against proprietary...
Penghao Yin, Haomin Wang, Qihong Tang et al.· 0 citations
This work presents WeAgent-MMGenEdit, a full-stack recipe including a multimodal harness, a scalable data construction pipeline, a comprehensive benchmark, and post-training methods for the agent policy and image backend that enables a 30B-total/3B-active policy to outperform similarly sized policy models and approach...
Hui Zhang, Zongkai Liu, Li-Qiang Niu et al.· 1 citation
GIF, an agentic Generation framework for Interactive and Functional object compositions, recast this problem as disentangled reconstruction followed by relative pose recovery, revealing diversity scaling in both simulation and real-world deployment.
Long-Ji Xu, Zhi-Qi Zhang, Mi Yan et al.· 2 citations· ⚡2
Results show that prototype-mediated vision-language transfer can improve skeleton representations for the behavior-interpretation stage of positioning and tracking pipelines, and CrossVLS is proposed, which is a cross-modal vision-language-guided framework that transfers semantic knowledge from red, green, and blue fr...
Kenan Ye, Shengjie Zhao, Shuang Liang· Electronics· 0 citations
Across six diverse visual reasoning tasks including multi-view spatial reasoning and collision prediction, ReImaGin consistently outperforms both text-only reasoning and specialist vision-tool baselines, with gains of up to 25\%, demonstrating the advantage of flexible, generative visual reasoning.
Nishad Singhi, H. P. Rodriguez, Aditya Arora et al.· 0 citations
Long-horizon robotic manipulation requires a policy to bridge task-level semantic reasoning with metric three-dimensional interaction geometry. Existing vision–language–action policies usually acquire geometry implicitly from visual tokens or introduce deterministic intermediate variables only in the image plane, which...
Li Lin, Ming-Hao Shi, Teng-Long Wang· Applied Informatics· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
