A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions

Understand

Large Language Models(LLMs) have revolutionized various applications in natural language processing (NLP) by providing unprecedented text generation, translation, and comprehension capabilities.

• However, their widespread deployment has brought to light significant concerns regarding biases embedded within these models.
• This paper presents a comprehensive survey of biases in LLMs, aiming to provide an extensive review of the types, sources, impacts, and mitigation strategies related to these biases.
• We systematically categorize biases into several dimensions.