Andrew Park — accepted AI-conference papers

2026

SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?

Xiang Deng, Jeff Da, Edwin Pan, Yannis Yiming He, Charles Ide, Kanak Garg +12

ICML 2026poster

We present SWE-Bench Pro, a comprehensive benchmark designed to evaluate software engineering capabilities through complex, realistic programming challenges. This benchmark extends beyond traditional algorithmic problems to encompass the full spectrum of professional software development tasks. The …

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2021

Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees

Alessio Mazzetto, Dylan Sam, Andrew Park, Eli Upfal, Stephen Bach

AISTATS 2021poster

We develop a novel method that provides theoretical guarantees for learning from weak labelers without the (mostly unrealistic) assumption that the errors of the weak labelers are independent or come from a particular family of distributions. We show a rigorous technique for efficiently selecting sm…

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