Linguistic Benchmark

Linguistic benchmarks are standardized tests designed to evaluate the capabilities of large language models (LLMs), focusing on aspects like code understanding, logical reasoning, and social intelligence. Current research emphasizes developing benchmarks that go beyond simple text generation, probing deeper into areas such as handling complex reasoning tasks and evaluating performance across diverse languages and low-resource settings. These benchmarks are crucial for objectively comparing LLMs, identifying their weaknesses, and guiding the development of more robust and reliable models with broader applications in various fields.