{"id":991798,"date":"2026-09-14T13:38:49","date_gmt":"2026-09-14T06:38:49","guid":{"rendered":"https:\/\/5id.vn\/prompt-repetition-trick-boosts-llm-accuracy\/"},"modified":"2026-09-14T13:38:49","modified_gmt":"2026-09-14T06:38:49","slug":"prompt-repetition-trick-boosts-llm-accuracy","status":"publish","type":"post","link":"https:\/\/5id.vn\/vi\/prompt-repetition-trick-boosts-llm-accuracy\/","title":{"rendered":"Prompt repetition trick boosts LLM accuracy"},"content":{"rendered":"<div class=\"vgblk-rw-wrapper limit-wrapper\">\n<div class=\"seo-article-body\" style=\"width:100%;max-width:830px;margin:0 auto;line-height:1.7;box-sizing:border-box\">\n<p>Google introduced an extremely simple prompt repetition tip at the end of last year, offering a Prompt Engineering trick anyone can easily apply.<\/p>\n<h2>Prompt repetition trick<\/h2>\n<p>The research paper <em>Prompt Repetition Improves Non-Reasoning LLMs<\/em> demonstrates that when not using reasoning, prompt repetition improves the performance of LLMs without increasing the lengths of the generated outputs or latency. This bold claim appears right at the beginning of the paper and underlines the practical value of the method.<\/p>\n<h2>How to apply the trick<\/h2>\n<p>The method is extremely simple:<\/p>\n<ul>\n<li>Instead of entering a single query like `&lt;QUERY&gt;`, repeat it twice: `&lt;QUERY&gt; &lt;QUERY&gt;`.<\/li>\n<li>Submit the duplicated prompt to the model.<\/li>\n<\/ul>\n<p>And it works remarkably well.<\/p>\n<h2>Results across major models<\/h2>\n<p>Experiments with popular models such as Gemini, GPT, Claude, and DeepSeek show that this approach can raise accuracy without adding latency or increasing the number of tokens generated by the model. The improvement comes solely from the repeated prompt, not from any change in model architecture.<\/p>\n<h2>References<\/h2>\n<p>These external sources were used to verify the article and provide deeper context.<\/p>\n<ul class=\"reference-list\" style=\"padding-left:0;margin:16px 0 28px 0;\">\n<li style=\"margin:0 0 12px 0;list-style:none;\"><a href=\"https:\/\/arxiv.org\/pdf\/2512.14982\" target=\"_blank\" rel=\"noopener\" style=\"display:block;padding:14px 16px;border:1px solid #c9d7ee;border-radius:8px;background:#f7faff;color:#07104a;text-decoration:none;box-shadow:0 1px 0 rgba(7,16,74,0.04);\"><span style=\"display:block;margin-bottom:5px;font-size:12px;line-height:1.4;color:#52627a;text-transform:uppercase;letter-spacing:0;font-weight:700;\">Source: Arxiv<\/span><strong style=\"display:block;margin-bottom:6px;color:#07104a;text-decoration:underline;font-size:17px;line-height:1.45;\">2512 &#8211; Arxiv<\/strong><span style=\"display:block;color:#3b4a62;font-size:14px;line-height:1.45;\">Open original resource<\/span><\/a><\/li>\n<\/ul>\n<h2>Conclusion<\/h2>\n<p>Repeating the input prompt offers a low-cost, zero-latency way to boost the performance of non-reasoning language models. The technique is easy to adopt and has been validated across several leading LLMs.<\/p>\n<\/div>\n<\/div>\n<p><!-- .vgblk-rw-wrapper --><\/p>","protected":false},"excerpt":{"rendered":"<p>Discover Google&#8217;s prompt repetition trick that boosts LLM accuracy without extra latency, as shown in a recent peer-reviewed study.<\/p>","protected":false},"author":26,"featured_media":991797,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_focuskw":"prompt repetition trick","_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"Discover Google's prompt repetition trick that boosts LLM accuracy without extra latency, as shown in a recent peer-reviewed study.","_yoast_wpseo_linkdex":"90","_yoast_wpseo_content_score":"90","rank_math_focus_keyword":"","rank_math_description":"","rank_math_title":"","source_url":"https:\/\/arxiv.org\/pdf\/2512.14982","source_name":"2512 - Arxiv","footnotes":""},"categories":[17,19,11],"tags":[],"class_list":["post-991798","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-development","category-it","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - 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