This page shows the most relevant public items for Code Generation, ranked by trend activity and review signal. Use weekly for fast changes, monthly for more stable patterns, and all-time for evergreen picks.
Paper • Feb 28, 2026 • arXiv • Jiangping Huang, Wenguang Ye, Weisong Sun, Jian Zhang, Mingyue Zhang, Yang Liu
While LLMs excel at generating initial code snippets, they struggle immensely with resolving complex runtime errors. TraceCoder introduces a multi-agent framework that utilizes actual execution tra...
Paper • Jan 28, 2026 • arXiv • David Lin, Sarah Conner, Julian Thorne
As autonomous systems are granted the ability to write and execute code the risk of catastrophic system compromise grows exponentially. We propose an isolation protocol utilizing micro virtual mach...
Paper • May 12, 2025 • arXiv • Ling Chen, David Wu, Samantha Harris, Yong Zhang
Single-agent code generation models frequently fail when confronted with repository-level refactoring and complex architectural planning. We propose SwarmCoder, an Agentic AI framework that deploys...
Paper • Jul 7, 2021 • arXiv • Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Wojciech Zaremba, Ilya Sutskever, et al.
We introduce Codex, a GPT language model fine-tuned on publicly available code from GitHub, and study its Python code-writing capabilities. A distinct production version of Codex powers GitHub Copi...
Paper • Dec 8, 2022 • Science • Yujia Li, David Choi, Junyoung Chung, Nate Kushman, Oriol Vinyals
Programming represents a complex problem-solving task that requires deep logic and algorithmic reasoning. We present AlphaCode, a system that writes computer programs at a competitive level. AlphaC...
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