Mengchi Liu

Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data

Large Language Models (LLMs) are increasingly employed in applications that require processing information from heterogeneous formats, including texts, tables, infoboxes, and knowledge graphs. However, systematic biases toward particular formats may undermine LLMs