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The following are the latest papers (sorted by release date) on prompt engineering for large language models (llms) Penalizing their “bad thoughts” doesn’t stop the majority of misbehavior—it makes them hide their intent We update the list of papers on a daily/weekly basis.
Rag has become one of the most widely used applications of llms A survey (gao et al., 2023). The below table provides summaries of top papers published between march 2023 and october 2025, covering various topics related to rag research
Comprehensive overview of existing methods in rag.
As a culmination of these efforts, this paper presents the most comprehensive survey on prompt engineering to date. Our goal is to provide a robust directory of prompting techniques that can be easily understood and implemented. 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, but they require human expertise to unlock their full potential.
Overall, these findings both deepen our understanding of cot prompting, and open up new questions regarding llms’ capability to learn to reason in context.
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