Reference Resolution As Language Modeling: An Effective Approach for Resolving Ambiguous References in Conversational and On-Screen Contexts

This paper demonstrates how Large Language Models (LLMs) can be effectively used to perform reference resolution, a crucial task for conversational agents, by converting it into a language modeling problem. The authors propose a novel approach to encode on-screen entities as text, enabling the LLM to handle both conversational and on-screen references.