Zobrazeno 1 - 10
of 15 542
pro vyhledávání: '"Alami, A."'
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:
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
We prove that under certain conditions, a normal crossings compactification of a Liouville domain determines a Maurer--Cartan element for the $L_\infty$ structure on its symplectic cohomology; and deforming by this element gives the quantum cohomolog
Externí odkaz:
http://arxiv.org/abs/2408.09221
We construct the $L_\infty$ structure on symplectic cohomology of a Liouville domain, together with an enhancement of the closed--open map to an $L_\infty$ homomorphism from symplectic cochains to Hochschild cochains on the wrapped Fukaya category. F
Externí odkaz:
http://arxiv.org/abs/2408.09163
Autor:
Malartic, Quentin, Chowdhury, Nilabhra Roy, Cojocaru, Ruxandra, Farooq, Mugariya, Campesan, Giulia, Djilali, Yasser Abdelaziz Dahou, Narayan, Sanath, Singh, Ankit, Velikanov, Maksim, Boussaha, Basma El Amel, Al-Yafeai, Mohammed, Alobeidli, Hamza, Qadi, Leen Al, Seddik, Mohamed El Amine, Fedyanin, Kirill, Alami, Reda, Hacid, Hakim
We introduce Falcon2-11B, a foundation model trained on over five trillion tokens, and its multimodal counterpart, Falcon2-11B-vlm, which is a vision-to-text model. We report our findings during the training of the Falcon2-11B which follows a multi-s
Externí odkaz:
http://arxiv.org/abs/2407.14885
Autor:
Bourakadi, K. El, Otalora, G., Burton-Villalobos, A., Chakir, H., Ferricha-Alami, M., Bennai, M.
In this paper, we investigate D-term inflation within the framework of supergravity, employing the minimal Kahler potential. Our study reveals that this model can overcome the {\eta}-problem found in F-term models. Additionally, we explore reheating
Externí odkaz:
http://arxiv.org/abs/2406.18828