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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...
Humans have the remarkable ability to engage in spontaneous informal conversations and selectively attend to individual speakers while filtering out competing speech from nearby conversations. This"cocktail party"scenario still presents severe challenges to speech recognition systems. The CHiME-9 MCoRec task provides a...
An end-to-end approach that fuses MMFMs with translation LLMs, enabling joint end-to-end training and achieving a 1-second latency reduction in SimulST compared to cascaded pipelines and also improves the overall translation quality is proposed.
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