Prompt Repetition Improves Non-Reasoning LLMs
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1866912770653421568 |
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| author | Leviathan, Yaniv Kalman, Matan Matias, Yossi |
| author_facet | Leviathan, Yaniv Kalman, Matan Matias, Yossi |
| contents | When not using reasoning, repeating the input prompt improves performance for popular models (Gemini, GPT, Claude, and Deepseek) without increasing the number of generated tokens or latency. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_14982 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Prompt Repetition Improves Non-Reasoning LLMs Leviathan, Yaniv Kalman, Matan Matias, Yossi Machine Learning Artificial Intelligence Computation and Language When not using reasoning, repeating the input prompt improves performance for popular models (Gemini, GPT, Claude, and Deepseek) without increasing the number of generated tokens or latency. |
| title | Prompt Repetition Improves Non-Reasoning LLMs |
| topic | Machine Learning Artificial Intelligence Computation and Language |
| url | https://arxiv.org/abs/2512.14982 |