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Min-Da Hu

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#artificial intelligence Preprint Sep 2026

EvolveScaler: Synthesizing Information-Evolution Contexts via Executable State Machines and Natural-Language Rendering

This work introduces EvolveScaler, a code-driven framework that defines information evolution before rendering it as natural language, and shows that code-driven IE synthesis provides both challenging evaluation and transferable training supervision.

Ziliang Zhao, Ze-Nan Xu, Shuting Wang et al. · 0 citations
#natural language process... Preprint Sep 2026

Compile, Don't Memorize: A Context Compilation Architecture (CCA) for In-Context Learning

The Context Compilation Architecture (CCA), whose central novelty is a typed intermediate representation (IR) with fixed slots (rules.{must_do, must_not, conditional}, output_spec, available_tools, data_profile) into which any prose context is compiled once; executable verifiers and a violation-gated correction loop fo...

Jin-Hu Qi, Min-Da Hu, Wen-Tao Zhang et al. · 0 citations

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