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cs.CL2025
Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference
Dang Anh, Rick Nouwen, Massimo Poesio
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-lik…
cs.CL2025
Referential ambiguity and clarification requests: comparing human and LLM behaviour
Chris Madge, Matthew Purver, Massimo Poesio
In this work we examine LLMs' ability to ask clarification questions in task-oriented dialogues that follow the asynchronous instruction-giver/instruction-follower format. We prese…
cs.CL2024
ClarQ-LLM: A Benchmark for Models Clarifying and Requesting Information in Task-Oriented Dialog
Yujian Gan, Changling Li, Jinxia Xie +3
We introduce ClarQ-LLM, an evaluation framework consisting of bilingual English-Chinese conversation tasks, conversational agents and evaluation metrics, designed to serve as a str…