LLMs Detect Pain in Text
A recent study published on arXiv has found that large language models (LLMs) can detect pain in text, distinguishing it from other negative emotions like fear or sadness. Researchers created a dataset of painful situations and tested LLMs across five families with varying parameter sizes ranging from 2B to 72B. They used denoised difference-in-means to extract a linear 'pain direction' that…
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Key points
- LLMs can detect pain in text
- Separates pain from fear, negative valence
- Qwen models choose pain-relief buttons
Read the original at arXiv cs.AI · by Valen Tagliabue, Leonard Dung, Cameron Berg primary source Open source ↗
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