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cs.CL2025

Making Dialogue Grounding Data Rich: A Three-Tier Data Synthesis Framework for Generalized Referring Expression Comprehension

Juexi Shao, Siyou Li, Yujian Gan +3

Dialogue-Based Generalized Referring Expression Comprehension (GREC) requires models to ground the expression and unlimited targets in complex visual scenes while resolving corefer…

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.CL2025

MDC-R: The Minecraft Dialogue Corpus with Reference

Chris Madge, Maris Camilleri, Paloma Carretero Garcia +6

We introduce the Minecraft Dialogue Corpus with Reference (MDC-R). MDC-R is a new language resource that supplements the original Minecraft Dialogue Corpus (MDC) with expert annota…

cs.CL2024

A LLM Benchmark based on the Minecraft Builder Dialog Agent Task

Chris Madge, Massimo Poesio

In this work we proposing adapting the Minecraft builder task into an LLM benchmark suitable for evaluating LLM ability in spatially orientated tasks, and informing builder agent d…

cs.CL2024

Large Language Models as Minecraft Agents

Chris Madge, Massimo Poesio

In this work we examine the use of Large Language Models (LLMs) in the challenging setting of acting as a Minecraft agent. We apply and evaluate LLMs in the builder and architect s…