Embodied agents are expected to accomplish real-world goals by deciding for themselves how and when to interact with their surroundings. For many such goals, changing the physical state of the world is the means rather than the end: the agent changes the state of a system through interaction, observes the feedback, and...
Hong-Cheng Gao, Ze Zheng, Alex Zhou et al.· 1 citation
EngiWorld provides the first rigorous foundation for measuring progress toward agents that operate professional engineering software end to end, and introduces an artifact-centric evaluation methodology built on a unified domain-verifier suite.
Hong-Cheng Gao, Hai-Long Qu, Yu-Ang Lei et al.· 0 citations
DeepVoyager-VL is proposed, a long-horizon multimodal deep-search framework for vision-in-the-loop search that constructs a multimodal event graph to drive data synthesis, yielding problems with intermediate visual dependencies and long reasoning chains.
Huan-Yao Zhang, Jie-Peng Zhou, Ru Zhao et al.· 0 citations
SearchArt is introduced, a scalable framework for training long-horizon search agents through verification-driven task synthesis and a multi-stage post-training pipeline, which exhibits adaptive search planning, iterative evidence aggregation, and complex reasoning over extended interaction horizons.
Lang Mei, Xiao-Han Yu, Chong Chen et al.· arXiv.org· 1 citation
A one-round study provides initial evidence for PRD-guided self-evolution, motivating validation at larger scales and in industrial settings, and presents AgentOmnia, a framework coordinating task-space definition, data synthesis, post-training, evaluation, and improvement across To-Consumer (ToC), To-Business (ToB), a...
