Zobrazeno 1 - 10
of 15 639
pro vyhledávání: '"Alami A"'
Autor:
Bassouya Mohammed, Chedadi Mohamed, Zahra Jawhari Fatima, Kara Mohammed, Assouguem Amine, Ullah Riaz, Ibrahim Mohamed A., Bari Ahmed, Fidan Hafize, Soufyane Lafraxo, Alami Abdellatif, Bari Amina
Publikováno v:
Open Life Sciences, Vol 19, Iss 1, Pp 1-9 (2024)
The genus Pistacia, with its species having notable ecological, economic, and medicinal implications, demonstrates remarkable environmental adaptability. The central objective of the study is to analyze interspecific variations between Pistacia atlan
Externí odkaz:
https://doaj.org/article/0f389df8d0ff40bbb7e0e9f5d2c112bb
Autor:
Ruohonen, Jukka, Alami, Adam
Regression bugs refer to situations in which something that worked previously no longer works currently. Such bugs have been pronounced in the Linux kernel. The paper focuses on regression bug tracking in the kernel by considering the time required t
Externí odkaz:
http://arxiv.org/abs/2411.02091
Artificial Intelligence (AI) techniques, particularly machine learning techniques, are rapidly transforming tactical operations by augmenting human decision-making capabilities. This paper explores AI-driven Human-Autonomy Teaming (HAT) as a transfor
Externí odkaz:
http://arxiv.org/abs/2411.09788
Autor:
Firdoussi, Aymane El, Seddik, Mohamed El Amine, Hayou, Soufiane, Alami, Reda, Alzubaidi, Ahmed, Hacid, Hakim
Synthetic data has gained attention for training large language models, but poor-quality data can harm performance (see, e.g., Shumailov et al. (2023); Seddik et al. (2024)). A potential solution is data pruning, which retains only high-quality data
Externí odkaz:
http://arxiv.org/abs/2410.08942
We present a substantial extension of our Human-Aware Task Planning framework, tailored for scenarios with intermittent shared execution experiences and significant belief divergence between humans and robots, particularly due to the uncontrollable n
Externí odkaz:
http://arxiv.org/abs/2409.18545
Autor:
Mahdaouy, Abdelkader El, Lamsiyah, Salima, Idrissi, Meryem Janati, Alami, Hamza, Yartaoui, Zakaria, Berrada, Ismail
Detecting and classifying suspicious or malicious domain names and URLs is fundamental task in cybersecurity. To leverage such indicators of compromise, cybersecurity vendors and practitioners often maintain and update blacklists of known malicious d
Externí odkaz:
http://arxiv.org/abs/2409.09143
Autor:
Alami, Reda, Almansoori, Ali Khalifa, Alzubaidi, Ahmed, Seddik, Mohamed El Amine, Farooq, Mugariya, Hacid, Hakim
We demonstrate that preference optimization methods can effectively enhance LLM safety. Applying various alignment techniques to the Falcon 11B model using safety datasets, we achieve a significant boost in global safety score (from $57.64\%$ to $99.
Externí odkaz:
http://arxiv.org/abs/2409.07772
Autor:
Alami, Hassan El, Rawat, Danda B.
The development of satellite constellation applications is rapidly advancing due to increasing user demands, reduced operational costs, and technological advancements. However, a significant gap in the existing literature concerns reconfiguration and
Externí odkaz:
http://arxiv.org/abs/2409.02270
Autor:
Chiara Rosso, Alami Aroussi Aaron, Angelo Armandi, Gian Paolo Caviglia, Marta Vernero, Giorgio Maria Saracco, Marco Astegiano, Elisabetta Bugianesi, Davide Giuseppe Ribaldone
Publikováno v:
Nursing Reports, Vol 11, Iss 2, Pp 229-241 (2021)
Background and Objectives: Patients affected by inflammatory bowel diseases (IBDs) are complex patients with various problems from a clinical and psychological point of view. This complexity must be addressed by a multidisciplinary team, and an infla
Externí odkaz:
https://doaj.org/article/4f36ca5fab204ec1a0e9c660e93e2f44
Autor:
Pipitone, Nicholas, Alami, Ghita Houir
Retrieval-Augmented Generation (RAG) systems are showing promising potential, and are becoming increasingly relevant in AI-powered legal applications. Existing benchmarks, such as LegalBench, assess the generative capabilities of Large Language Model
Externí odkaz:
http://arxiv.org/abs/2408.10343