In this study, we design and use evaluation models to both evaluate and autonomously refine the performance of digital agents that browse the web or control mobile devices. The evaluator and ...

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Automated Code Comments Generation Using Large Language Models: Empirical Evaluation of T5 and BART Abstract: Source code documentation plays a significant role in the software development lifecycle, ...

The new science of “emergent misalignment” explores how PG-13 training data — insecure code, superstitious numbers or even extreme-sports advice — can open the door to AI’s dark side.