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Author

Zixian Huang

Shanghai AI Lab

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Preprint Aug 2026

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent

Extensive experiments show that DataMaster outperforms static baselines in most settings and surpasses full-pool training in a substantial number of cases, and simplifies data curation and removes the burden of manual strategy design.

Fanqi Zhou, Qiaosheng Chen, Zixian Huang et al. · 0 citations
Review Aug 2026

Intern-S2-Preview: Scientific Agentic Foundation Model

Evaluations across scientific, multimodal, agentic, and general-purpose benchmarks show that Intern-S2-Preview-397B achieves competitive or leading results in multiple settings.

Lei Bai, Jiaqi Cao, Chiyu Chen et al. · 2 citations

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