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Jin-Cheng Mi

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#artificial intelligence Preprint Sep 2026

Data-Efficient Language Modeling: From Frontier Advancement to Principle-Guided Model Improvement

Learning from limited text requires models to use context, generalize to new inputs, and retain useful capabilities. Qiushi Engine conducted a long-horizon, end-to-end autonomous research program on BabyLM 2026 Strict-Small, within 10 million corpus words and 100 million cumulative word presentations. Three stages conn...

Shu-Xing Yang, Kai-Hao Zhu, Jun-Jie Yang et al. · 0 citations
#artificial intelligence Review Sep 2026

Qiushi Engine on AstaBench E2E-Bench-Hard

This report analyzes Qiushi Engine v0.8 across all 40 test tasks in AstaBench E2E-Bench-Hard, a benchmark that requires autonomous agents to carry a research question through experimental design, code implementation, actual execution, result analysis, and report delivery. Qiushi Engine is model-configurable; this evalu...

Wen-Hao Li, Shu-Xing Yang, Fu-Jia Chen et al. · 0 citations

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