Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference
By: Dang Anh, Rick Nouwen, Massimo Poesio
Potential Business Impact:
Helps computers understand "they" better.
Our goal is to study how LLMs represent and interpret plural reference in ambiguous and unambiguous contexts. We ask the following research questions: (1) Do LLMs exhibit human-like preferences in representing plural reference? (2) Are LLMs able to detect ambiguity in plural anaphoric expressions and identify possible referents? To address these questions, we design a set of experiments, examining pronoun production using next-token prediction tasks, pronoun interpretation, and ambiguity detection using different prompting strategies. We then assess how comparable LLMs are to humans in formulating and interpreting plural reference. We find that LLMs are sometimes aware of possible referents of ambiguous pronouns. However, they do not always follow human reference when choosing between interpretations, especially when the possible interpretation is not explicitly mentioned. In addition, they struggle to identify ambiguity without direct instruction. Our findings also reveal inconsistencies in the results across different types of experiments.
Similar Papers
It Depends: Resolving Referential Ambiguity in Minimal Contexts with Commonsense Knowledge
Computation and Language
Helps computers understand confusing words in chats.
Who Relies More on World Knowledge and Bias for Syntactic Ambiguity Resolution: Humans or LLMs?
Computation and Language
Computers struggle to understand tricky sentences.
Referential ambiguity and clarification requests: comparing human and LLM behaviour
Computation and Language
Helps computers ask better questions when confused.