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PCS narrows the reasoning performance gap between English and other languages in LRM applications, achieving language consistency without heavy resource demands.
LLMs are drowning in verbal tics—sycophantic openers and pseudo-empathetic affirmations—and this "alignment tax" significantly reduces perceived naturalness.
LLMs can now reliably extract complex, n-ary drug combinations from biomedical text, surpassing previous methods that were limited to binary interactions.