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Objectives To evaluate the performance of large language models (LLMs) in risk of bias assessment and to examine whether ...

A token leaks. A bad package slips in. A login trick works. An old tool shows up again. At first, it feels like the usual mess. Then you see the pattern: attackers are not always breaking in. They are ...

It is widely believed that language is structured around ‘constituents’, units that combine hierarchically. Using structural priming, we provide evidence of linguistic structures — non-constituents — ...