Text Benchmark

Text benchmarks are standardized datasets and evaluation protocols used to assess the performance of large language models (LLMs) on various text-related tasks. Current research focuses on developing benchmarks that evaluate LLMs' abilities to handle long-form text generation, multi-modal inputs (combining text with images, tables, or other data types), and complex reasoning tasks such as those involving actions and change or advanced data analysis. These benchmarks are crucial for objectively comparing different LLMs and identifying areas for improvement, ultimately driving advancements in both the capabilities of LLMs and their real-world applications across diverse fields.