The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design

Autor: Snegirev, Artem, Tikhonova, Maria, Maksimova, Anna, Fenogenova, Alena, Abramov, Alexander

Embedding models play a crucial role in Natural Language Processing (NLP) by creating text embeddings used in various tasks such as information retrieval and assessing semantic text similarity. This paper focuses on research related to embedding mode

Externí odkaz: http://arxiv.org/abs/2408.12503

The need to implement FAIR principles in biomolecular simulations

Autor: Amaro, Rommie, Åqvist, Johan, Bahar, Ivet, Battistini, Federica, Bellaiche, Adam, Beltran, Daniel, Biggin, Philip C., Bonomi, Massimiliano, Bowman, Gregory R., Bryce, Richard, Bussi, Giovanni, Carloni, Paolo, Case, David, Cavalli, Andrea, Chang, Chie-En A., Cheatham III, Thomas E., Cheung, Margaret S., Chipot, Cris, Chong, Lillian T., Choudhary, Preeti, Cisneros, Gerardo Andres, Clementi, Cecilia, Collepardo-Guevara, Rosana, Coveney, Peter, Covino, Roberto, Crawford, T. Daniel, Peraro, Matteo Dal, de Groot, Bert, Delemotte, Lucie, De Vivo, Marco, Essex, Jonathan, Fraternali, Franca, Gao, Jiali, Gelpí, Josep Lluís, Gervasio, Francesco Luigi, Gonzalez-Nilo, Fernando Danilo, Grubmüller, Helmut, Guenza, Marina, Guzman, Horacio V., Harris, Sarah, Head-Gordon, Teresa, Hernandez, Rigoberto, Hospital, Adam, Huang, Niu, Huang, Xuhui, Hummer, Gerhard, Iglesias-Fernández, Javier, Jensen, Jan H., Jha, Shantenu, Jiao, Wanting, Jorgensen, William L., Kamerlin, Shina Caroline Lynn, Khalid, Syma, Laughton, Charles, Levitt, Michael, Limongelli, Vittorio, Lindahl, Erik, Lindorff-Larsen, Kresten, Loverde, Sharon, Lundborg, Magnus, Luo, Yun Lyna, Luque, Francisco Javier, Lynch, Charlotte I., MacKerell, Alexander, Magistrato, Alessandra, Marrink, Siewert J., Martin, Hugh, McCammon, J. Andrew, Merz, Kenneth, Moliner, Vicent, Mulholland, Adrian, Murad, Sohail, Naganathan, Athi N., Nangia, Shikha, Noe, Frank, Noy, Agnes, Oláh, Julianna, O'Mara, Megan, Ondrechen, Mary Jo, Onuchic, José N., Onufriev, Alexey, Osuna, Silvia, Panchenko, Anna R., Pantano, Sergio, Parish, Carol, Parrinello, Michele, Perez, Alberto, Perez-Acle, Tomas, Perilla, Juan R., Pettitt, B. Montgomery, Pietropalo, Adriana, Piquemal, Jean-Philip, Poma, Adolfo, Praprotnik, Matej, Ramos, Maria J., Ren, Pengyu, Reuter, Nathalie, Roitberg, Adrian, Rosta, Edina, Rovira, Carme, Roux, Benoit, Röthlisberger, Ursula, Sanbonmatsu, Karissa Y., Schlick, Tamar, Shaytan, Alexey K., Simmerling, Carlos, Smith, Jeremy C., Sugita, Yuji, Świderek, Katarzyna, Taiji, Makoto, Tao, Peng, Tikhonova, Irina G., Tirado-Rives, Julian, Tunón, Inaki, Van Der Kamp, Marc W., Van der Spoel, David, Velankar, Sameer, Voth, Gregory A., Wade, Rebecca, Warshel, Ariel, Welborn, Valerie Vaissier, Wetmore, Stacey, Wong, Chung F., Yang, Lee-Wei, Zacharias, Martin, Orozco, Modesto

This letter illustrates the opinion of the molecular dynamics (MD) community on the need to adopt a new FAIR paradigm for the use of molecular simulations. It highlights the necessity of a collaborative effort to create, establish, and sustain a data

Externí odkaz: http://arxiv.org/abs/2407.16584

A Family of Pretrained Transformer Language Models for Russian

Autor: Zmitrovich, Dmitry, Abramov, Alexander, Kalmykov, Andrey, Tikhonova, Maria, Taktasheva, Ekaterina, Astafurov, Danil, Baushenko, Mark, Snegirev, Artem, Kadulin, Vitalii, Markov, Sergey, Shavrina, Tatiana, Mikhailov, Vladislav, Fenogenova, Alena

Transformer language models (LMs) are fundamental to NLP research methodologies and applications in various languages. However, developing such models specifically for the Russian language has received little attention. This paper introduces a collec

Externí odkaz: http://arxiv.org/abs/2309.10931

Methods used for caries detection and diagnosis in Ontario dental practices: a cross-sectional survey

Autor: Daniel Han, Akshay Gupta, Abiola Adeniyi, Grace De Souza, Laura E Tam, Svetlana Tikhonova, Jacinta Santos, Abbas Jessani

Publikováno v: BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)

Abstract Background Early detection of caries is essential for applying non-surgical treatment procedures and preventing the formation of cavitated lesions leading to unnecessary removal of tooth structure. Understanding dentists’ preferences for c

Externí odkaz: https://doaj.org/article/ab91d125dd28430f8561688a861c1049

Recommendations for the development of sterility testing procedures for biological medicinal products based on pharmacopoeial methods

Autor: Z. E. Berdnikova, A. S. Tikhonova

Publikováno v: Биопрепараты: Профилактика, диагностика, лечение, Vol 24, Iss 2, Pp 229-236 (2024)

INTRODUCTION. The distinctive nature and composition of biological medicinal products present certain challenges for the detection of microbial contamination, which affects the reliability of sterility control results. The main challenges associated

Externí odkaz: https://doaj.org/article/ffef29ef514c4580836fe8812ac6e0ba