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Adapting large language models to an individual author's style from a few examples is challenging, and scientific writing sharpens the difficulty: formal conventions leave little surface variation, and authors write about their own topics, so extracted ``style''easily entangles with content. We study style-conditioned...
The memory footprint of the key-value (KV) cache constrains the practical use of long-context models, and it dominates cost when one prefilled context must later serve many different queries. In this reusable setting, query-agnostic compression trades cost against quality: lightweight estimators are cheap but less accu...
It is argued that progress requires dedicated speech-specific training data and models that genuinely condition on speech, and both text- and speech-based quality estimation metrics on two contrastive datasets targeting gender agreement and prosody fall short.
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