As coding agents achieve increasingly high success rates on software engineering benchmarks, recent efforts have sought to increase task complexity through longer horizons and more extensive code modifications. However, real-world software development often spans multiple interdependent repositories, introducing additi...
Si-Lin Chen, Yu-Ling Shi, Heng Lian et al.· 0 citations
AutoAgent0 is introduced, an agentic runtime and harness framework that augments existing driving experts with complementary detection skills, rule-based action verification, and feedback-driven recovery, and demonstrates that runtime supervision can improve closed-loop robustness across multiple driving experts withou...
Jia-Geng Liu, Seth Z. Zhao, Ze-Wei Zhou et al.· 0 citations
LLM-based coding agents have significantly advanced automated software issue resolution, yet they remain highly prone to factual errors caused by insufficient repository understanding. Recent methods attempt to mitigate this limitation through pre-repair repository exploration; however, their fix-driven strategies expl...
ParaTempo is a training-free asynchronous parallel reasoning framework driven by temporal confidence, a branch-local measure of answer-space convergence that reduces average latency, and exhibits stronger temporal stability and predictive power for future branch convergence than token-level and instantaneous signals.
Xuteng Zhang, Wenhao Zeng, Xiao-Dong Gu et al.· 1 citation
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