Type Quantifier

Type quantifiers, such as "few" and "most," represent a significant challenge for large language models (LLMs) in accurately interpreting the proportion of a predicate's satisfaction within a sentence. Current research focuses on understanding why LLMs, even very large ones, struggle with these quantifiers, particularly "few," often exhibiting inverse scaling where performance decreases with model size. This research utilizes various probing methods and datasets to analyze LLM comprehension of quantifier semantics, aiming to improve the accuracy and reliability of natural language processing systems.