Unveiling LLM Evaluation Focused on Metrics: Challenges and Solutions

arXiv:2404.09135v1 Announce Type: new
Abstract: Natural Language Processing (NLP) is witnessing a remarkable breakthrough driven by the success of Large Language Models (LLMs). LLMs have gained significant attention across academia and industry for their versatile applications in text generation, question answering, and text summarization. As the landscape of NLP evolves with an increasing number of domain-specific LLMs employing diverse techniques and trained on various corpus, evaluating performance of these models becomes paramount. To quantify the performance, it's crucial to have …

abstract academia applications arxiv attention challenges cs.cl evaluation industry landscape language language models language processing large language large language models llm llms metrics natural natural language natural language processing nlp processing question question answering solutions success summarization text text generation text summarization type