Zobrazeno 1 - 5
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pro vyhledávání: '"Sadallah, Abdelrahman"'
Publikováno v:
COLING 2025
Cryptic crosswords are puzzles that rely on general knowledge and the solver's ability to manipulate language on different levels, dealing with various types of wordplay. Previous research suggests that solving such puzzles is challenging even for mo
Externí odkaz:
http://arxiv.org/abs/2412.09012
Autor:
Vashurin, Roman, Fadeeva, Ekaterina, Vazhentsev, Artem, Rvanova, Lyudmila, Tsvigun, Akim, Vasilev, Daniil, Xing, Rui, Sadallah, Abdelrahman Boda, Grishchenkov, Kirill, Petrakov, Sergey, Panchenko, Alexander, Baldwin, Timothy, Nakov, Preslav, Panov, Maxim, Shelmanov, Artem
Uncertainty quantification (UQ) is a critical component of machine learning (ML) applications. The rapid proliferation of large language models (LLMs) has stimulated researchers to seek efficient and effective approaches to UQ for text generation. As
Externí odkaz:
http://arxiv.org/abs/2406.15627
Autor:
Sadallah, Abdelrahman "Boda", Kotova, Daria, Kochmar, Ekaterina
Cryptic crosswords are puzzles that rely not only on general knowledge but also on the solver's ability to manipulate language on different levels and deal with various types of wordplay. Previous research suggests that solving such puzzles is a chal
Externí odkaz:
http://arxiv.org/abs/2403.12094
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
Autor:
Sadallah, Abdelrahman "Boda", Ahmed, Omar, Mohamed, Shimaa, Hatem, Omar, Hesham, Doaa, Yousef, Ahmed H.
One of the main tasks of Natural Language Processing (NLP), is Named Entity Recognition (NER). It is used in many applications and also can be used as an intermediate step for other tasks. We present ANER, a web-based named entity recognizer for the
Externí odkaz:
http://arxiv.org/abs/2308.14669