Author

Chengyi Yang

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#artificial intelligence Review Oct 2026

ProgramGym: Scaling Training Environments for Long-Horizon Program Reproduction Agents

Coding agents are increasingly used to build programs from scratch as software engineers do rather than to resolve issues within a repository or to generate a repository from a given requirements document. However, scalable verifiable training environments that force agents to discover what is required and to decide ho...

Cheng-Yi Yang, Ren-Xu Bao, Jue Hou et al. · 0 citations

#artificial intelligence May 2026

Latent Action Reparameterization for Efficient Agent Inference

Large language model (LLM) agents often rely on long sequences of low-level textual actions, resulting in large effective decision horizons and high inference cost. While prior work has focused on improving inference efficiency through system-level optimizations or prompt engineering, we argue that a key bottleneck lie...

Wenhao Huang, Qing-Wen Zeng, Qi-Yue Chen et al. · arXiv.org · 0 citations