Yongan Yu — accepted AI-conference papers

2025

MaintainCoder: Maintainable Code Generation Under Dynamic Requirements

Zhengren Wang, Rui ling, Chufan Wang, Yongan Yu, Sizhe Wang, Zhiyu li +2

NeurIPS 2025poster

Modern code generation has made significant strides in functional correctness and execution efficiency. However, these systems often overlook a critical dimension in real-world software development: \textit{maintainability}. To handle dynamic requirements with minimal rework, we propose \textbf{Main…

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2025

WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models

Yongan Yu, Qingchen Hu, Xianda Du, Jiayin Wang, Fengran Mo, Renée Sieber

ACL 2025finding

Climate change adaptation requires the understanding of disruptive weather impacts on society, where large language models (LLMs) might be applicable. However, their effectiveness is under-explored due to the difficulty of high-quality corpus collection and the lack of available benchmarks. The clim…

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