Ruiling Xu — accepted AI-conference papers

2025

Toward Engineering AGI: Benchmarking the Engineering Design Capabilities of LLMs

Xingang Guo, Yaxin Li, XiangYi Kong, YILAN JIANG, Xiayu Zhao, Zhihua Gong +59

NeurIPS 2025poster

Modern engineering, spanning electrical, mechanical, aerospace, civil, and computer disciplines, stands as a cornerstone of human civilization and the foundation of our society. However, engineering design poses a fundamentally different challenge for large language models (LLMs) compared with tradi…

Cited by 0 Source ↗Scholar ↗

2024

BiasAlert: A Plug-and-play Tool for Social Bias Detection in LLMs

Zhiting Fan, Ruizhe Chen, Ruiling Xu, Zuozhu Liu

EMNLP 2024main

Evaluating the bias of LLMs becomes more crucial with their rapid development. However, existing evaluation approaches rely on fixed-form outputs and cannot adapt to the flexible open-text generation scenarios of LLMs (e.g., sentence completion and question answering). To address this, we introduce…

Cited by 12 Source ↗PDF ↗Scholar ↗