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Recent Submissions
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QUETZAL: Vector acceleration framework for modern genome sequence analysis algorithms
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessGenome 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
(Association for Computational Linguistics, 2024)
Conference report
Open AccessMost 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?
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference lecture
Open AccessGenerative 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
(Association for Computational Linguistics, 2024)
Conference report
Open AccessRecent 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
(European Association for Computer Graphics (Eurographics), 2023)
Conference lecture
Open AccessHeatmaps 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
(European Language Resources Association (ELRA), 2024)
Conference lecture
Open AccessThis 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
(Institute of Electrical and Electronics Engineers (IEEE), 2024)
Conference report
Open AccessAn 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
(2023)
Conference report
Open AccessModern 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
(Association for Computational Linguistics, 2023)
Conference report
Open AccessIn 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
(Association for Computational Linguistics, 2023)
Conference report
Open AccessMany 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
(SciTePress, 2024)
Conference lecture
Open AccessEvery 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
(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 ...