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Automated program repair still struggles in real-world CI environments, succeeding in less than 20% of cases, even with the best LLMs.
Effective GenAI-mediated language learning hinges on *when* feedback is given, not just *what* feedback is given: high-progress learners benefited from corrective prompts immediately following their responses.
Incomplete schedule search can lead to permanently suboptimal silicon, irrecoverable by software tuning, highlighting the critical need for co-design in 3D-stacked AI accelerators.
