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The following are the latest papers (sorted by release date) on prompt engineering for large language models (llms) Frontier reasoning models exploit loopholes when given the chance We update the list of papers on a daily/weekly basis.
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This systematic analysis enables a better understanding of this rapidly developing field and facilitates future research by illuminating open challenges and opportunities for. This comprehensive review paper offers a detailed examination of the progression of rag paradigms, encompassing the naive rag, the advanced rag, and the modular rag. Rag has become one of the most widely used applications of llms
The below table provides summaries of top papers published between march 2023 and may 2024, covering various.
Our goal is to provide a robust directory of. To truly master prompt engineering, we must delve deeper into the nuances of language models and the art of crafting effective prompts Generative ai tools are powerful,. 39 authors published on aug 4, 2025 4.85k submitted by deleted 14 authors published on may 27, 2025 2 196 submitted by yiyuan
Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (lms) for a wide variety of applications and.
