A hybrid Euclidean-distance and LLM-relevance example selector for few-shot sensor classification reports a small, statistically fragile gain over distance-only selection on a fatigue detection dataset.
Few-shot Learning with Multilingual Generative Language Models
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Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection
A hybrid Euclidean-distance and LLM-relevance example selector for few-shot sensor classification reports a small, statistically fragile gain over distance-only selection on a fatigue detection dataset.