Zobrazeno 1 - 10
of 12 433
pro vyhledávání: '"Arco A"'
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
The rapid advancement of Large Language Models (LLMs) necessitates robust and challenging benchmarks. Leaderboards like Chatbot Arena rank LLMs based on how well their responses align with human preferences. However, many tasks such as those related
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
Large Language Models (LLMs) exhibit remarkable text classification capabilities, excelling in zero- and few-shot learning (ZSL and FSL) scenarios. However, since they are trained on different datasets, performance varies widely across tasks between
Externí odkaz:
http://arxiv.org/abs/2307.12973