SOURCE-LINKED INTELLIGENCE
Cross-lingual Functional Vectors for Emotion Detection in Large Language Models
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. While prior studies have shown that FVs can recover task behavior in structured in-context learning settings, their effectiveness on semantically complex tasks and their ability to generalize across languages remain underexplored. We investigate the cross-lingual transferability of FVs using multilingual multi-label emotion recognition as a challenging semantic classifi
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-30T07:08:36.000Z
First collected: 2026-09-21T07:31:56.984Z. This is not the publication date.