Preprint
Aug 2026
Aging of Prompt Engineering Techniques Across LLM Versions
It is shown that prompt engineering "ages" in a model-family-specific way: Newer GPT models exhibit diminishing or even negative marginal gains from structured prompting, suggesting that instruction-following and reasoning scaffolds are increasingly internalized, whereas Qwen models continue to benefit substantially from Few-Shot and CCoT.
A. Rudyk, Julian Oertel, Regina Hebig
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