Zobrazeno 1 - 10
of 234
pro vyhledávání: '"Ali, Mehdi"'
Autor:
Thellmann, Klaudia, Stadler, Bernhard, Fromm, Michael, Buschhoff, Jasper Schulze, Jude, Alex, Barth, Fabio, Leveling, Johannes, Flores-Herr, Nicolas, Köhler, Joachim, Jäkel, René, Ali, Mehdi
The rise of Large Language Models (LLMs) has revolutionized natural language processing across numerous languages and tasks. However, evaluating LLM performance in a consistent and meaningful way across multiple European languages remains challenging
Externí odkaz:
http://arxiv.org/abs/2410.08928
Autor:
Brandizzi, Nicolo', Abdelwahab, Hammam, Bhowmick, Anirban, Helmer, Lennard, Stein, Benny Jörg, Denisov, Pavel, Saleem, Qasid, Fromm, Michael, Ali, Mehdi, Rutmann, Richard, Naderi, Farzad, Agy, Mohamad Saif, Schwirjow, Alexander, Küch, Fabian, Hahn, Luzian, Ostendorff, Malte, Suarez, Pedro Ortiz, Rehm, Georg, Wegener, Dennis, Flores-Herr, Nicolas, Köhler, Joachim, Leveling, Johannes
This paper presents a comprehensive overview of the data preparation pipeline developed for the OpenGPT-X project, a large-scale initiative aimed at creating open and high-performance multilingual large language models (LLMs). The project goal is to
Externí odkaz:
http://arxiv.org/abs/2410.08800
Autor:
Ali, Mehdi, Fromm, Michael, Thellmann, Klaudia, Ebert, Jan, Weber, Alexander Arno, Rutmann, Richard, Jain, Charvi, Lübbering, Max, Steinigen, Daniel, Leveling, Johannes, Klug, Katrin, Buschhoff, Jasper Schulze, Jurkschat, Lena, Abdelwahab, Hammam, Stein, Benny Jörg, Sylla, Karl-Heinz, Denisov, Pavel, Brandizzi, Nicolo', Saleem, Qasid, Bhowmick, Anirban, Helmer, Lennard, John, Chelsea, Suarez, Pedro Ortiz, Ostendorff, Malte, Jude, Alex, Manjunath, Lalith, Weinbach, Samuel, Penke, Carolin, Filatov, Oleg, Asaadi, Shima, Barth, Fabio, Sifa, Rafet, Küch, Fabian, Herten, Andreas, Jäkel, René, Rehm, Georg, Kesselheim, Stefan, Köhler, Joachim, Flores-Herr, Nicolas
We present two multilingual LLMs designed to embrace Europe's linguistic diversity by supporting all 24 official languages of the European Union. Trained on a dataset comprising around 60% non-English data and utilizing a custom multilingual tokenize
Externí odkaz:
http://arxiv.org/abs/2410.03730
Autor:
Nie, Shangrui, Fromm, Michael, Welch, Charles, Görge, Rebekka, Karimi, Akbar, Plepi, Joan, Mowmita, Nazia Afsan, Flores-Herr, Nicolas, Ali, Mehdi, Flek, Lucie
While preliminary findings indicate that multilingual LLMs exhibit reduced bias compared to monolingual ones, a comprehensive understanding of the effect of multilingual training on bias mitigation, is lacking. This study addresses this gap by system
Externí odkaz:
http://arxiv.org/abs/2407.05740
Autor:
Weber, Alexander Arno, Thellmann, Klaudia, Ebert, Jan, Flores-Herr, Nicolas, Lehmann, Jens, Fromm, Michael, Ali, Mehdi
The adaption of multilingual pre-trained LLMs into eloquent and helpful assistants is essential to facilitate their use across different language regions. In that spirit, we are the first to conduct an extensive study of the performance of multilingu
Externí odkaz:
http://arxiv.org/abs/2402.13703
Autor:
Ali, Mehdi, Fromm, Michael, Thellmann, Klaudia, Rutmann, Richard, Lübbering, Max, Leveling, Johannes, Klug, Katrin, Ebert, Jan, Doll, Niclas, Buschhoff, Jasper Schulze, Jain, Charvi, Weber, Alexander Arno, Jurkschat, Lena, Abdelwahab, Hammam, John, Chelsea, Suarez, Pedro Ortiz, Ostendorff, Malte, Weinbach, Samuel, Sifa, Rafet, Kesselheim, Stefan, Flores-Herr, Nicolas
The recent success of Large Language Models (LLMs) has been predominantly driven by curating the training dataset composition, scaling of model architectures and dataset sizes and advancements in pretraining objectives, leaving tokenizer influence as
Externí odkaz:
http://arxiv.org/abs/2310.08754
Autor:
Muhammad Sami Khan, Muntazar Ali Mehdi, Mustafa Shahzad, Muhammad Rameez, Haroon Rashid Baloch
Publikováno v:
Pakistan Journal of Medicine and Dentistry, Vol 13, Iss 4 (2024)
Complete dentures offer the replacement of all missing teeth and surrounding tissues. Replacing the entire arch of missing teeth, the prosthesis is exclusively tissue-supported. Adapting a spacer during removable complete denture impression-making is
Externí odkaz:
https://doaj.org/article/e1179f56e6394173864a68810ddbf1f6
Autor:
Shah Waliullah, Zeenat ara, Khurshid Alam Ansari, Rajeshwar Nath Srivastav, Devarshi Rastogi, Abbas Ali Mehdi, Ravindra Kumar Garg, Raja Roy, Mohammed Lafi Al-Otaibi
Publikováno v:
Global Journal of Medicine and Public Health, Vol 13, Iss 1 (2024)
Background Spinal cord injury is a life changing threatening neurological condition that completely changes subject’s life. In medical management recent advances has significantly improved diagnosis, stabilization, survival rate and well bein
Externí odkaz:
https://doaj.org/article/200e9a1c33b341bab99bc75a65626833
Autor:
Elias Bassil, Milad Matta, Haytham El Gharably, Serge Harb, Juan Calle, Susana Arrigain, Jesse Schold, Jonathan Taliercio, Ali Mehdi, Georges Nakhoul
Publikováno v:
Kidney Medicine, Vol 6, Iss 3, Pp 100774- (2024)
Rationale & Objective: We sought to compare outcomes of patients receiving dialysis after cardiothoracic surgery on the basis of dialysis modality (intermittent hemodialysis [HD] vs peritoneal dialysis [PD]). Study Design: This was a retrospective an
Externí odkaz:
https://doaj.org/article/6005e0967dc84ee6a3844a2b0c433593
Autor:
Ali, Mehdi, Berrendorf, Max, Galkin, Mikhail, Thost, Veronika, Ma, Tengfei, Tresp, Volker, Lehmann, Jens
For many years, link prediction on knowledge graphs (KGs) has been a purely transductive task, not allowing for reasoning on unseen entities. Recently, increasing efforts are put into exploring semi- and fully inductive scenarios, enabling inference
Externí odkaz:
http://arxiv.org/abs/2107.04894