Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Shehata, Shady"'
Autor:
Talafha, Bashar, Kadaoui, Karima, Magdy, Samar Mohamed, Habiboullah, Mariem, Chafei, Chafei Mohamed, El-Shangiti, Ahmed Oumar, Zayed, Hiba, tourad, Mohamedou cheikh, Alhamouri, Rahaf, Assi, Rwaa, Alraeesi, Aisha, Mohamed, Hour, Alwajih, Fakhraddin, Mohamed, Abdelrahman, Mekki, Abdellah El, Nagoudi, El Moatez Billah, Saadia, Benelhadj Djelloul Mama, Alsayadi, Hamzah A., Al-Dhabyani, Walid, Shatnawi, Sara, Ech-Chammakhy, Yasir, Makouar, Amal, Berrachedi, Yousra, Jarrar, Mustafa, Shehata, Shady, Berrada, Ismail, Abdul-Mageed, Muhammad
In spite of the recent progress in speech processing, the majority of world languages and dialects remain uncovered. This situation only furthers an already wide technological divide, thereby hindering technological and socioeconomic inclusion. This
Externí odkaz:
http://arxiv.org/abs/2410.04527
Reinforcement Learning (RL) algorithms suffer from the dependency on accurately engineered reward functions to properly guide the learning agents to do the required tasks. Preference-based reinforcement learning (PbRL) addresses that by utilizing hum
Externí odkaz:
http://arxiv.org/abs/2408.11943
Autor:
Doughman, Jad, Afzal, Osama Mohammed, Toyin, Hawau Olamide, Shehata, Shady, Nakov, Preslav, Talat, Zeerak
Recent improvements in the quality of the generations by large language models have spurred research into identifying machine-generated text. Systems proposed for the task often achieve high performance. However, humans and machines can produce text
Externí odkaz:
http://arxiv.org/abs/2406.11073
Speech emotion recognition (SER) is essential for enhancing human-computer interaction in speech-based applications. Despite improvements in specific emotional datasets, there is still a research gap in SER's capability to generalize across real-worl
Externí odkaz:
http://arxiv.org/abs/2406.09933
Autor:
Koto, Fajri, Li, Haonan, Shatnawi, Sara, Doughman, Jad, Sadallah, Abdelrahman Boda, Alraeesi, Aisha, Almubarak, Khalid, Alyafeai, Zaid, Sengupta, Neha, Shehata, Shady, Habash, Nizar, Nakov, Preslav, Baldwin, Timothy
The focus of language model evaluation has transitioned towards reasoning and knowledge-intensive tasks, driven by advancements in pretraining large models. While state-of-the-art models are partially trained on large Arabic texts, evaluating their p
Externí odkaz:
http://arxiv.org/abs/2402.12840
Novel view synthesis (NVS) of multi-human scenes imposes challenges due to the complex inter-human occlusions. Layered representations handle the complexities by dividing the scene into multi-layered radiance fields, however, they are mainly constrai
Externí odkaz:
http://arxiv.org/abs/2309.11627
Autor:
Huang, Chien-yu, Lu, Ke-Han, Wang, Shih-Heng, Hsiao, Chi-Yuan, Kuan, Chun-Yi, Wu, Haibin, Arora, Siddhant, Chang, Kai-Wei, Shi, Jiatong, Peng, Yifan, Sharma, Roshan, Watanabe, Shinji, Ramakrishnan, Bhiksha, Shehata, Shady, Lee, Hung-yi
Text language models have shown remarkable zero-shot capability in generalizing to unseen tasks when provided with well-formulated instructions. However, existing studies in speech processing primarily focus on limited or specific tasks. Moreover, th
Externí odkaz:
http://arxiv.org/abs/2309.09510
Despite major advancements in Automatic Speech Recognition (ASR), the state-of-the-art ASR systems struggle to deal with impaired speech even with high-resource languages. In Arabic, this challenge gets amplified, with added complexities in collectin
Externí odkaz:
http://arxiv.org/abs/2306.04368
Propaganda is a form of communication intended to influence the opinions and the mindset of the public to promote a particular agenda. With the rise of social media, propaganda has spread rapidly, leading to the need for automatic propaganda detectio
Externí odkaz:
http://arxiv.org/abs/2305.14534
Novel view synthesis is a long-standing problem that revolves around rendering frames of scenes from novel camera viewpoints. Volumetric approaches provide a solution for modeling occlusions through the explicit 3D representation of the camera frustu
Externí odkaz:
http://arxiv.org/abs/2303.01736