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AI research agents automate the cycle of proposing, implementing, and evaluating experiments, opening a path toward recursive self-improvement. Yet their ability to propose experiments outpaces their capacity to execute them in real environments, making outcome prediction a key capability for sustained self-improvement...
Understanding software evolution at the repository level is essential for tasks such as release management, code review, and regression testing. However, existing change summarization techniques are largely confined to single commits or functions, failing to capture cross-commit evolutionary context, while recent repos...
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