Zobrazeno 1 - 10
of 12 017
pro vyhledávání: '"A. Arco"'
Autor:
del Pozo, Jesús J., Bonhome-Espinosa, Ana B., Sun, Wei, Gutiérrez-Ariza, Carlos, Rica, Raúl A., Rodríguez-Arco, Laura
In the field of microdroplet manipulation, optical tweezers have been used to form and grow droplets, to transport them, or to measure forces between droplet pairs. However, the exploration of out-of-equilibrium phenomena in optically trapped droplet
Externí odkaz:
http://arxiv.org/abs/2409.18539
Autor:
Arends, Bauke, Vessies, Melle, van Osch, Dirk, Teske, Arco, van der Harst, Pim, van Es, René, van Es, Bram
Clinical machine learning research and AI driven clinical decision support models rely on clinically accurate labels. Manually extracting these labels with the help of clinical specialists is often time-consuming and expensive. This study tests the f
Externí odkaz:
http://arxiv.org/abs/2408.06930
Emotions play important epistemological and cognitive roles in our lives, revealing our values and guiding our actions. Previous work has shown that LLMs display biases in emotion attribution along gender lines. However, unlike gender, which says lit
Externí odkaz:
http://arxiv.org/abs/2407.06908
As Large Language Models (LLMs) continue to evolve, the search for efficient and meaningful evaluation methods is ongoing. Many recent evaluations use LLMs as judges to score outputs from other LLMs, often relying on a single large model like GPT-4o.
Externí odkaz:
http://arxiv.org/abs/2406.08598
Autor:
Plaza-del-Arco, Flor Miriam, Curry, Amanda Cercas, Curry, Alba, Abercrombie, Gavin, Hovy, Dirk
Large language models (LLMs) reflect societal norms and biases, especially about gender. While societal biases and stereotypes have been extensively researched in various NLP applications, there is a surprising gap for emotion analysis. However, emot
Externí odkaz:
http://arxiv.org/abs/2403.03121
Emotions are a central aspect of communication. Consequently, emotion analysis (EA) is a rapidly growing field in natural language processing (NLP). However, there is no consensus on scope, direction, or methods. In this paper, we conduct a thorough
Externí odkaz:
http://arxiv.org/abs/2403.01222
Autor:
Rasouligandomani, Morteza, del Arco, Alex, Villa, Tomaso, La Barbera, Luigi, Pellise, Ferran, Ballester, Miguel Angel Gonzalez, Galbusera, Fabio, Noailly, Jerome
Background: Proximal Junctional Failure (PJF) is a post-operative complication in adult spine surgery, often requiring reoperation. Osteotomy is often used in revision surgeries, leading to 34.8% complications. Hence, suboptimal decisions might be ex
Externí odkaz:
http://arxiv.org/abs/2402.13060
Autor:
Rasouligandomani, Morteza, del Arco, Alex, Chemorion, Francis Kiptengwer, Bisotti, Marc-Antonio, Galbusera, Fabio, Noailly, Jerome, Ballester, Miguel Angel Gonzalez
Adult spine deformity (ASD) is prevalent and leads to a sagittal misalignment in the vertebral column. Computational methods, including Finite Element (FE) Models, have emerged as valuable tools for investigating the causes and treatment of ASD throu
Externí odkaz:
http://arxiv.org/abs/2402.13041
Recent instruction fine-tuned models can solve multiple NLP tasks when prompted to do so, with machine translation (MT) being a prominent use case. However, current research often focuses on standard performance benchmarks, leaving compelling fairnes
Externí odkaz:
http://arxiv.org/abs/2310.12127
In this work we explore the low energy effects induced from the integration of the heavy Higgs boson modes, $H$, $A$ and $H^\pm$, within the Two Higgs Doublet Model (2HDM) by assuming that the lightest Higgs boson $h$ is the one observed experimental
Externí odkaz:
http://arxiv.org/abs/2307.15693