Jieying Xue
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Cross-lingual Functional Vectors for Emotion Detection in Large Language Models
Published on Aug 30 · Submitted by Nguyen Minh Phuong on Sep 1 Abstract Function vectors extracted from one language improve multilingual emotion recognition by capturing language-independent task signals and reducing inference overhead. Function vectors (FVs) have recently emerged as a promising mechanism for steering the behavior of large language models (LLMs) by injecting task-specific latent direction representations derived from in-context demonstrations.
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