Author

Masahiro Kato

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Preprint Aug 2026

Handover of In-Context Learning State Across Session Boundaries

This study investigates the methodological and theoretical properties of session handover in applications that use large language models. A task may continue in a new session when the context reaches the model's input limit, when the application restarts, or when another agent is asked to finish the task. The applicati...

Masahiro Kato, Takahide Kato · 0 citations

#machine learning Preprint Oct 2026

GTDD: Generative Test-Driven Development for AI Coding Agents with Adversarial Testing

Test-driven development gives AI coding agents executable requirements for implementing software. Because these agents can adapt their implementations to the examples they observe, passing a predetermined collection of tests can leave substantial parts of the intended behavior unimplemented. We propose Generative Test-...

Masahiro Kato · 0 citations

#artificial intelligence Preprint Jun 2026

AI Economist Agent: An Agentic Framework for Evidence-Based Economic and Financial Analysis with RAG, Knowledge Graphs, and Large Language Models

The results show how the AI economist agent can combine flexible evidence retrieval and scenario construction while keeping the resulting analysis linked to identifiable sources and explicit model calculations.

Masahiro Kato · 0 citations