Recent Submissions

  • QUETZAL: Vector acceleration framework for modern genome sequence analysis algorithms 

    Pavón Rivera, Julián; Vargas Valdivieso, Ivan; Rojas Morales, Carlos; Hernández Calderón, César Alejandro; Aslan, Mehmet; Figueras Bagué, Roger; Yuan, Yichao; Lindegger, Joël; Alser, Mohammed; Moll Echeto, Francisco de Borja; Marco Sola, Santiago; Ergin, Oguz; Talati, Nishil; Mutlu, Onur; Unsal, Osman Sabri; Valero Cortés, Mateo; Cristal Kestelman, Adrián (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Genome sequence analysis is fundamental to medical breakthroughs such as developing vaccines, enabling genome editing, and facilitating personalized medicine. The exponentially expanding sequencing datasets and complexity ...
  • Leveraging the structure of pre-trained embeddings to minimize annonation effort 

    González Gutiérrez, César; Quattoni, Ariadna Julieta (Association for Computational Linguistics, 2024)
    Conference report
    Open Access
    Most current state-of-the-art approaches for text classification are based on fine-tuning the representations computed by large language models (LLMs). This strategy has led to significant improvements in classification ...
  • Are LLMs ready for visualization? 

    Vázquez Alcocer, Pere Pau (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference lecture
    Open Access
    Generative models have received a lot of attention in many areas of academia and the industry. Their capabilities span many areas, from the invention of images given a prompt to the generation of concrete code to solve a ...
  • Align and augment: Generative data augmentation for compositional generalization 

    Cazzaro, Francesco; Locatelli, Davide; Quattoni, Ariadna Julieta (Association for Computational Linguistics, 2024)
    Conference report
    Open Access
    Recent work on semantic parsing has shown that seq2seq models find compositional generalization challenging. Several strategies have been proposed to mitigate this challenge. One such strategy is to improve compositional ...
  • Effect of color palettes in heatmaps perception: a study 

    Molina López, Elena; Middel Soria, Carolina; Vázquez Alcocer, Pere Pau (European Association for Computer Graphics (Eurographics), 2023)
    Conference lecture
    Open Access
    Heatmaps are a widely used technique in visualization. Unfortunately, they have not been investigated in depth and little is known about the best parameterizations so that they are properly interpreted. The effect of ...
  • Fine-tuning open access LLMs for high-precision NLU in goal-driven dialog systems 

    Padró, Lluís; Saurí Colomer, Roser (European Language Resources Association (ELRA), 2024)
    Conference lecture
    Open Access
    This paper presents a set of experiments on fine-tuning LLMs to produce high-precision semantic representations for the NLU component of a dialog system front-end. The aim of this research is threefold. First, we want to ...
  • Exploring the role of expected collision feedback in crowded virtual environments 

    Yun, Haoran; Pontón Martínez, José Luis; Beacco Porres, Alejandro; Andújar Gran, Carlos Antonio; Pelechano Gómez, Núria (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    An increasing number of virtual reality applications require environments that emulate real-world conditions. These environments often involve dynamic virtual humans showing realistic behaviors. Understanding user perception ...
  • Visual semantic relatedness dataset for image captioning 

    Sabir, Ahmed; Moreno-Noguer, Francesc; Padró, Lluís (2023)
    Conference report
    Open Access
    Modern image captioning system relies heavily on extracting knowledge from images to capture the concept of a static story. In this paper, we propose a textual visual context dataset for captioning, in which the publicly ...
  • Women wearing lipstick: measuring the bias between an object and its related gender 

    Sabir, Ahmed; Padró, Lluís (Association for Computational Linguistics, 2023)
    Conference report
    Open Access
    In this paper, we investigate the impact of objects on gender bias in image captioning systems. Our results show that only genderspecific objects have a strong gender bias (e.g. women-lipstick). In addition, we propose a ...
  • Entity disambiguation on a tight labeling budget 

    Primadhanty, Audi; Quattoni, Ariadna Julieta (Association for Computational Linguistics, 2023)
    Conference report
    Open Access
    Many real-world NLP applications face the challenge of training an entity disambiguation model for a specific domain with a small labeling budget. In this setting there is often access to a large unlabeled pool of documents. ...
  • A proposal for an Educational Well-Being Index (EWI) for undergraduate course design 

    Blesa Aguilera, Maria Josep; Duch Brown, Amalia; Gabarró Vallès, Joaquim; Serna Iglesias, María José (SciTePress, 2024)
    Conference lecture
    Open Access
    Every day it is more common to hear around us about the publication of studies, surveys or statistical results about the well-being of people, workers, women in a given country. Indeed, as university professors, our work ...
  • Unveiling competition dynamics in mobile app markets through user reviews 

    Motger de la Encarnación, Joaquim; Franch Gutiérrez, Javier; Gervasi, Vincenzo; Marco Gómez, Jordi (Springer, 2024)
    Conference report
    Restricted access - publisher's policy
    [Context and motivation] User reviews published in mobile app repositories are essential for understanding user satisfaction and engagement within a specific market segment. [Question/problem] Manual analysis of reviews ...

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