June 7, 2024, 4:51 a.m. | Cheng Xu, Shuhao Guan, Derek Greene, M-Tahar Kechadi

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.04244v1 Announce Type: new
Abstract: The rapid development of Large Language Models (LLMs) like GPT-4, Claude-3, and Gemini has transformed the field of natural language processing. However, it has also resulted in a significant issue known as Benchmark Data Contamination (BDC). This occurs when language models inadvertently incorporate evaluation benchmark information from their training data, leading to inaccurate or unreliable performance during the evaluation phase of the process. This paper reviews the complex challenge of BDC in LLM evaluation and …

abstract arxiv benchmark claude cs.cl data development evaluation gemini gpt gpt-4 however information issue language language models language processing large language large language models llms natural natural language natural language processing processing survey type

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