Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

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? and (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.
Original languageEnglish
Title of host publicationProceedings of the 8th BlackboxNLP Workshop
Subtitle of host publicationAnalyzing and Interpreting Neural Networks for NLP
EditorsYonatan Belinkov, Aaron Mueller, Najoung Kim, Hosein Mohebbi, Hanjie Chen, Dana Arad, Gabriele Sarti
Place of PublicationSuzhou, China
PublisherAssociation for Computational Linguistics
Pages263-275
ISBN (Print)979-8-89176-346-3
DOIs
Publication statusPublished - Nov 2025

Fingerprint

Dive into the research topics of 'Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference'. Together they form a unique fingerprint.

Cite this