Automating dataset updates towards reliable and timely evaluation of Large Language Models
Large language models (LLMs) have achieved impressive performance across various natural language benchmarks, prompting a continual need to curate more difficult datasets for larger LLMs, which is costly and time-consuming. In this paper, we propose to automate dataset updating and provide systemati...
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Main Authors: | , , , , , , , , , |
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格式: | text |
語言: | English |
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Institutional Knowledge at Singapore Management University
2024
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在線閱讀: | https://ink.library.smu.edu.sg/sis_research/9439 |
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機構: | Singapore Management University |
語言: | English |