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Matching papers

LoopArena: Benchmarking Models as Runtime Controllers for Loop Engineering

99 upvotes · 28 AUG 2026 · Yi Wang, Haopeng Zhang, Chengxiang Huang et al.

This paper introduces LoopArena, a benchmark for evaluating how well a model can guide a coding agent through a long-running task, and finds room for improvement in long-horizon loop control. Practitioners working on AI development might care because it could lead to more efficient and reliable development processes.

loop engineeringcoding agentsruntime controllerscontinual learningbenchmarks

SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science?

61 upvotes · 20 AUG 2026 · Zhipeng Xu, Jiahao Lu, Yining Zheng et al.

This paper introduces SWE-bench Science, a benchmark for evaluating coding agents' performance in repairing scientific software, and identifies common failure mechanisms that hinder their success. Practitioners may care about this research as it can help improve the reliability and reproducibility of scientific findings by developing more effective coding agents.

scientific software engineeringcoding agentsscientific domainsbenchmarkingcontinual learning