April 2, 2024, 7:52 p.m. | Jihoo Kim, Wonho Song, Dahyun Kim, Yunsu Kim, Yungi Kim, Chanjun Park

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.00943v1 Announce Type: new
Abstract: This paper introduces Evalverse, a novel library that streamlines the evaluation of Large Language Models (LLMs) by unifying disparate evaluation tools into a single, user-friendly framework. Evalverse enables individuals with limited knowledge of artificial intelligence to easily request LLM evaluations and receive detailed reports, facilitated by an integration with communication platforms like Slack. Thus, Evalverse serves as a powerful tool for the comprehensive assessment of LLMs, offering both researchers and practitioners a centralized and easily …

abstract artificial artificial intelligence arxiv cs.ai cs.cl evaluation framework intelligence knowledge language language model language models large language large language model large language models library llm llms novel paper reports request tools type

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