Patrick Tser Jern Kon — accepted AI-conference papers

2026

EXP-Bench: Can AI Conduct AI Research Experiments?

Patrick Tser Jern Kon, Qiuyi Ding, Jiachen Liu, Xinyi Zhu, Jingjia Peng, Jiarong Xing +7

ICLR 2026poster

Automating AI research holds immense potential for accelerating scientific progress, yet current AI agents struggle with the complexities of rigorous, end-to-end experimentation. We introduce EXP-Bench, a novel benchmark designed to systematically evaluate AI agents on complete research experiments…

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2024

IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs

Patrick Tser Jern Kon, Jiachen Liu, Yiming Qiu, Weijun Fan, Ting He, Lei Lin +8

NeurIPS 2024poster

Infrastructure-as-Code (IaC), an important component of cloud computing, allows the definition of cloud infrastructure in high-level programs. However, developing IaC programs is challenging, complicated by factors that include the burgeoning complexity of the cloud ecosystem (e.g., diversity of clo…

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