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Preprint Aug 2026

Controllable Affective Generation via Latent Vector Steering

Large Language Models (LLMs) often produce emotionally flattened responses after alignment, limiting their effectiveness in affect-sensitive applications. In this paper, we propose EmoVec, a lightweight framework for controllable affective generation via latent vector steering. EmoVec extracts emotion-specific directio...

Xixian Yong, Siteng Chang, Ying-Ying Zhang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Improving Medical Calculation of LLMs with Embedded Coding

Large Language Models (LLMs) perform well on medical examinations and question-answering benchmarks, but remain unreliable on medical calculation tasks that require exact numerical outputs. These calculations support high-stakes decisions such as medication dosing, organ-function assessment, and prognostic scoring, for...

Tianshi Ming, Ying-Ying Zhang, Xian Wu · 0 citations

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