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DeepRepoQA is proposed, a novel question answering (QA) framework for repository-level code understanding that builds on an agentic framework where LLM agents find answers through a systematic tree search over the repository structure.
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.
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