Zobrazeno 1 - 10
of 12 256
pro vyhledávání: '"Zampieri, A."'
Firing rate models are dynamical systems widely used in applied and theoretical neuroscience to describe local cortical dynamics in neuronal populations. By providing a macroscopic perspective of neuronal activity, these models are essential for inve
Externí odkaz:
http://arxiv.org/abs/2411.07388
The Hopfield model provides a mathematically idealized yet insightful framework for understanding the mechanisms of memory storage and retrieval in the human brain. This model has inspired four decades of extensive research on learning and retrieval
Externí odkaz:
http://arxiv.org/abs/2411.05849
We study stochastic pairwise interaction network systems whereby a finite population of agents, identified with the nodes of a graph, update their states in response to both individual mutations and pairwise interactions with their neighbors. The con
Externí odkaz:
http://arxiv.org/abs/2410.22820
Sarcasm is a rhetorical device that is used to convey the opposite of the literal meaning of an utterance. Sarcasm is widely used on social media and other forms of computer-mediated communication motivating the use of computational models to identif
Externí odkaz:
http://arxiv.org/abs/2410.18882
The recently introduced Mojo programming language (PL) by Modular, has received significant attention in the scientific community due to its claimed significant speed boost over Python. Despite advancements in code Large Language Models (LLMs) across
Externí odkaz:
http://arxiv.org/abs/2410.17736
Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language Processing tasks (NLP), such as text generation and understanding. Recently, these models have extended their capabilities to coding tasks, bridging the
Externí odkaz:
http://arxiv.org/abs/2410.16349
Autor:
Keita, Mamadou K., Homan, Christopher, Hamani, Sofiane Abdoulaye, Bremang, Adwoa, Zampieri, Marcos, Alfari, Habibatou Abdoulaye, Ibrahim, Elysabhete Amadou, Owusu, Dennis
Grammatical error correction (GEC) is important for improving written materials for low-resource languages like Zarma -- spoken by over 5 million people in West Africa. Yet it remains a challenging problem. This study compares rule-based methods, mac
Externí odkaz:
http://arxiv.org/abs/2410.15539
Recent advancements in large language models (LLMs) have significantly enhanced code generation from natural language prompts. The HumanEval Benchmark, developed by OpenAI, remains the most widely used code generation benchmark. However, this and oth
Externí odkaz:
http://arxiv.org/abs/2410.15037
Autor:
Bucur, Ana-Maria, Moldovan, Andreea-Codrina, Parvatikar, Krutika, Zampieri, Marcos, KhudaBukhsh, Ashiqur R., Dinu, Liviu P.
Computational approaches to predicting mental health conditions in social media have been substantially explored in the past years. Multiple surveys have been published on this topic, providing the community with comprehensive accounts of the researc
Externí odkaz:
http://arxiv.org/abs/2410.08793
Autor:
Dutta, Sujan, Pandita, Deepak, Weerasooriya, Tharindu Cyril, Zampieri, Marcos, Homan, Christopher M., KhudaBukhsh, Ashiqur R.
Ensuring annotator quality in training and evaluation data is a key piece of machine learning in NLP. Tasks such as sentiment analysis and offensive speech detection are intrinsically subjective, creating a challenging scenario for traditional qualit
Externí odkaz:
http://arxiv.org/abs/2409.12218