AI Agent Papers2026
Chengyi Yang, Renxu Bao +11Affiliation: Xiamen University, Affiliation: Washington University in St. Louis +2
Converts real repositories into verifiable, sandboxed training environments with black-box tests to train coding agents on long-horizon program reproduction. Provides Program-Env for automated environment construction and Program-Agent for a role-isolated development workflow, yielding 1,648 C/C++/Go/Rust tasks and improving benchmark performance.
AI Agent Papers2026
Zimu Wang, Xiaobo Wang +12University of California, Berkeley, University of Science and Technology of China +5
Builds and compares agent-evolution strategies on shared infrastructure, keeping mutable agent resources separate from protected evaluation. The best observed overall pass@1 gain was 13.5 percentage points, but results varied by setting and did not always transfer to held-out tasks.