Multimodal intelligence can be viewed as human-guided co-evolution between worlds and agents through interaction. However, scaling this process faces two bottlenecks: constructing heterogeneous, verifiable environments is costly, and manual Harness iteration cannot keep pace with growing task diversity and complexity....
Wei-Dong Tang, Rui-Heng Wang, Jing-Xuan Zhang et al.· 2 citations
This work evaluates 25 model and agent systems under a controlled tool-using protocol, then uses controlled studies to locate failures in evidence access, tool selection, memory, reasoning, interaction, and scientific execution.
Zhiqing Cui, Xinxiang Yin, Yihong Tang et al.· 0 citations
VALG, an agentic system that combines multi-level Verification, Adaptive formulation of Learning-theory problems, and Graph-structured proof development, is developed, an agentic system that combines multi-level Verification, adaptive formulation of Learning-theory problems, and Graph-structured proof development.
Dechen Zhang, Xuan Tang, Xinxiang Yin et al.· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
