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Yuxian Gu

LLM-in-Sandbox coauthor from Tsinghua University. Homepage identifies him as a final-year PhD candidate in the Conversational AI Group at Tsinghua University, with work on LLM efficiency across pre-training, adaptation and inference; he has also worked with Microsoft Research Asia and MIT HAN Lab.

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Jul 09, 2026

Computer Environments Elicit General Agentic Intelligence in LLMs

LLM in Sandbox 的核心贡献是把通用计算机抽象成一个最小 Docker code sandbox,并证明强模型在 training free 设置下能利用外部资源访问、文件管理和代码执行三类 meta capability 提升数学、物理、化学、长上下文和指令遵循等非代码任务;进一步的 LLM in Sandbox RL 说明,把一般 context based 数据放进文件系统并用 outcome reward 训练,可...

2601.16206-computer-environments-agentic-intelligence Tool UseAgent RLAgent Workflow