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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
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
Publikováno v:
Current Issues in Molecular Biology, Vol 46, Iss 7, Pp 6440-6471 (2024)
Despite recent campaigns for screening and the latest advances in cancer therapy and molecular biology, gastrointestinal (GI) neoplasms remain among the most frequent and lethal human tumors. Most GI neoplasms are sporadic, but there are some well-kn
Externí odkaz:
https://doaj.org/article/abae4a9a28254f169eeca3fdd0cc009b
Autor:
Morteza Rasouligandomani, Alejandro del Arco, Francis Kiptengwer Chemorion, Marc-Antonio Bisotti, Fabio Galbusera, Jérôme Noailly, Miguel A. González Ballester
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract 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
Externí odkaz:
https://doaj.org/article/b1e15a00454d4bb5827fa3585d5fbf6c