Safe autonomous driving requires more than accurate planning at a single frame: it demands reliable closed-loop execution in dynamic environments. Although end-to-end driving policies have advanced rapidly, the accumulated closed-loop errors, especially in unseen scenarios, can push vehicles into states from which the...
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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