activity
20212025
most citedCoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings

9 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Detecting Referring Expressions in Visually Grounded Dialogue with Autoregressive Language Models

Bram Willemsen, Gabriel Skantze

In this paper, we explore the use of a text-only, autoregressive language modeling approach for the extraction of referring expressions from visually grounded dialogue. More specif…

cs.CL2024

Referring Expression Generation in Visually Grounded Dialogue with Discourse-aware Comprehension Guiding

Bram Willemsen, Gabriel Skantze

We propose an approach to referring expression generation (REG) in visually grounded dialogue that is meant to produce referring expressions (REs) that are both discriminative and…

cs.CL2023

Resolving References in Visually-Grounded Dialogue via Text Generation

Bram Willemsen, Livia Qian, Gabriel Skantze

Vision-language models (VLMs) have shown to be effective at image retrieval based on simple text queries, but text-image retrieval based on conversational input remains a challenge…

cs.CL2023

Collecting Visually-Grounded Dialogue with A Game Of Sorts

Bram Willemsen, Dmytro Kalpakchi, Gabriel Skantze

An idealized, though simplistic, view of the referring expression production and grounding process in (situated) dialogue assumes that a speaker must merely appropriately specify t…

cs.CL2021★ 9 cited

CoLLIE: Continual Learning of Language Grounding from Language-Image Embeddings

Gabriel Skantze, Bram Willemsen

This paper presents CoLLIE: a simple, yet effective model for continual learning of how language is grounded in vision. Given a pre-trained multimodal embedding model, where langua…