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Seyoung Kim

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Open access Sep 2026

Prompt Escalation for Lightweight Large Language Models: An Empirical Evaluation of Cost–Performance Trade-Offs

Prompt escalation can increase the resource requirements of lightweight large language models (LLMs) without improving predictive performance. We evaluated four instruction-tuned 2–4B models on Grade School Math 8K (GSM8K), CommonsenseQA (CSQA), Recognizing Textual Entailment (RTE), and the binary Stanford Sentiment Tr...

Seyoung Kim, Bonggyun Ko · 0 citations

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