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20202026
most citedGrounding Spatial Relations in Text-Only Language Models

3 citations · 6 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

Multimodal Large Language Models for Low-Resource Languages: A Case Study for Basque

Lukas Arana, Julen Etxaniz, Ander Salaberria +1

Current Multimodal Large Language Models exhibit very strong performance for several demanding tasks. While commercial MLLMs deliver acceptable performance in low-resource language…

cs.CL2025

Vision-Language Models Struggle to Align Entities across Modalities

Iñigo Alonso, Gorka Azkune, Ander Salaberria +2

Cross-modal entity linking refers to the ability to align entities and their attributes across different modalities. While cross-modal entity linking is a fundamental skill needed…

cs.CL20243 cited

Grounding Spatial Relations in Text-Only Language Models

Gorka Azkune, Ander Salaberria, Eneko Agirre

This paper shows that text-only Language Models (LM) can learn to ground spatial relations like "left of" or "below" if they are provided with explicit location information of obje…

cs.CL20231 cited

IXA/Cogcomp at SemEval-2023 Task 2: Context-enriched Multilingual Named Entity Recognition using Knowledge Bases

Iker García-Ferrero, Jon Ander Campos, Oscar Sainz +2

Named Entity Recognition (NER) is a core natural language processing task in which pre-trained language models have shown remarkable performance. However, standard benchmarks like…

cs.CL20202 cited

Evaluating Multimodal Representations on Visual Semantic Textual Similarity

Oier Lopez de Lacalle, Ander Salaberria, Aitor Soroa +2

The combination of visual and textual representations has produced excellent results in tasks such as image captioning and visual question answering, but the inference capabilities…