Natural Language Processing (NLP) seeks to enable computers to comprehend and interact using human language. A critical challenge in NLP is evaluating language models (LMs), which generate responses across various tasks. The diversity of these tasks makes it difficult to assess the quality of responses effectively. With the increasing sophistication of LMs, such as GPT-4, proprietary models often provide strong evaluation capabilities but suffer from transparency, control, and…
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