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Gaze-only models can be significantly improved by injecting lightweight language signals, achieving up to a 2.9 percentage point gain in reading comprehension prediction accuracy.
LLMs can fix numerical instability in scientific code where traditional methods fail, but watch out for control flow and high-precision literals.
