Author

Yuan-Jing Yang

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Preprint Sep 2026

Breaking the Environment Wall: A Unified Framework for Preparing and Evolving Agent-Native Environments

Many real-world tasks (e.g., office workflows, scientific experimentation) require LLM agents to interact repeatedly with their environments for context-dependent operations. However, such environments are often not agent-ready. First, information is often scattered and fragmented across the environment. Second, releva...

Yu-Kai Wu, Yuan-Jing Yang, Leon Zhou et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Breaking the Environment Wall: Evolving LLM Agent Environments for Recursive Self-Improvement

Env-Rethink is proposed, a system with 27B post-trained model that supports three main capabilities that adaptively builds Collection Maps and Event Logs to supplement necessary context and evolves environments through virtual event histories that alter environmental states and evidence relationships.

Yu-Kai Wu, Yuan-Jing Yang, Leon Zhou et al. · 0 citations