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Chong Chen

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#artificial intelligence Preprint Sep 2026

EngiWorld: What Can Frontier Agents Deliver in Professional Engineering Environments?

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
Conference Open access 2026

BoYaEval: Evaluating Multimodal Large Language Models on Understanding Ancient Chinese Musical Scores

The first comprehensive benchmark dedicated to deciphering diverse Ancient Chinese musical notations, including five types of ancient Chinese music notation systems, is introduced, highlighting the limitations of current MLLMs in processing diverse spatial-symbolic dependencies.

Jiajia Li, Wei-Zhi Xue, Yao Yao et al. · 0 citations
Jul 2026

SearchArt: Training Long-Horizon Search Agent with Scalable Synthetic and Verified Task

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. · 1 citation
Jul 2026

AgentOmnia: Scaling Agentic Models for Full-Scenario Applications

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...

Hao Jiang, Gang-Tao Xin, Ying Huang et al. · 0 citations

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