#executable-models News & Analysis

3 articles tagged with #executable-models. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Jun 16/10

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PatchWorld: Gradient-Free Optimization of Executable World Models

Researchers introduce PatchWorld, a gradient-free framework that converts offline trajectories into executable Python world models for AI agents operating in partially observable environments. The method achieves 76.4% success on planning tasks without requiring LLM calls during prediction, while revealing a fundamental tradeoff between observation accuracy and decision-making utility in executable world models.

AINeutralarXiv – CS AI · May 76/10

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Executable World Models for ARC-AGI-3 in the Era of Coding Agents

Researchers demonstrate a coding-agent system for ARC-AGI-3 that uses executable Python world models to solve abstract reasoning challenges without game-specific code. The agent achieved full solutions on 7 of 25 public games, establishing a generalizable baseline approach that relies on model verification and simplicity-driven refactoring rather than hand-coded logic.

AINeutralarXiv – CS AI · Apr 146/10

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Ambiguity Detection and Elimination in Automated Executable Process Modeling

Researchers have developed a framework to detect and eliminate ambiguities in natural-language specifications converted to executable BPMN process models by large language models. The method identifies behavioral inconsistencies through KPI analysis, diagnoses gateway logic problems, and repairs source text through evidence-based refinement, reducing variability in regenerated model behavior.