Zobrazeno 1 - 10
of 55 217
pro vyhledávání: '"Chawla A"'
Autor:
Schnur, Jennifer J., Garcia-Martínez, Angélica, Soga, Patrick, Badillo-Urquiola, Karla, Botello, Alejandra J., Raisbeck, Ana Calderon, Chawla, Sugana, Ernst, Josef, Gentry, William, Johnson, Richard P., Kennel, Michael, Robles, Jesús, Wagner, Madison, Medina, Elizabeth, Espinosa, Juan Garduño, Márquez-González, Horacio, Olivar-López, Victor, Juárez-Villegas, Luis E., Avilés-Robles, Martha, Dorantes-Acosta, Elisa, Avila, Viridia, Chapa-Koloffon, Gina, Cruz, Elizabeth, Luis, Leticia, Quezada, Clara, Orozco, Emanuel, Serván-Mori, Edson, Cordero, Martha, Payo, Rubén Martín, Chawla, Nitesh V.
We developed SaludConectaMX as a comprehensive system to track and understand the determinants of complications throughout chemotherapy treatment for children with cancer in Mexico. SaludConectaMX is unique in that it integrates patient clinical indi
Externí odkaz:
http://arxiv.org/abs/2408.00881
Autor:
Zhou, Yujun, Yang, Jingdong, Guo, Kehan, Chen, Pin-Yu, Gao, Tian, Geyer, Werner, Moniz, Nuno, Chawla, Nitesh V, Zhang, Xiangliang
Laboratory accidents pose significant risks to human life and property, underscoring the importance of robust safety protocols. Despite advancements in safety training, laboratory personnel may still unknowingly engage in unsafe practices. With the i
Externí odkaz:
http://arxiv.org/abs/2410.14182
Autor:
Le, Khiem, Chawla, Nitesh V.
Molecule optimization is a critical task in drug discovery to optimize desired properties of a given molecule through chemical modification. Despite Large Language Models (LLMs) holding the potential to efficiently simulate this task by using natural
Externí odkaz:
http://arxiv.org/abs/2410.13147
Large language models (LLMs) offer powerful capabilities but also introduce significant risks. One way to mitigate these risks is through comprehensive pre-deployment evaluations using benchmarks designed to test for specific vulnerabilities. However
Externí odkaz:
http://arxiv.org/abs/2410.12974
Autor:
Ye, Jiayi, Wang, Yanbo, Huang, Yue, Chen, Dongping, Zhang, Qihui, Moniz, Nuno, Gao, Tian, Geyer, Werner, Huang, Chao, Chen, Pin-Yu, Chawla, Nitesh V, Zhang, Xiangliang
LLM-as-a-Judge has been widely utilized as an evaluation method in various benchmarks and served as supervised rewards in model training. However, despite their excellence in many domains, potential issues are under-explored, undermining their reliab
Externí odkaz:
http://arxiv.org/abs/2410.02736
Autor:
Munoz, Gary D. Lopez, Minnich, Amanda J., Lutz, Roman, Lundeen, Richard, Dheekonda, Raja Sekhar Rao, Chikanov, Nina, Jagdagdorj, Bolor-Erdene, Pouliot, Martin, Chawla, Shiven, Maxwell, Whitney, Bullwinkel, Blake, Pratt, Katherine, de Gruyter, Joris, Siska, Charlotte, Bryan, Pete, Westerhoff, Tori, Kawaguchi, Chang, Seifert, Christian, Kumar, Ram Shankar Siva, Zunger, Yonatan
Generative Artificial Intelligence (GenAI) is becoming ubiquitous in our daily lives. The increase in computational power and data availability has led to a proliferation of both single- and multi-modal models. As the GenAI ecosystem matures, the nee
Externí odkaz:
http://arxiv.org/abs/2410.02828
Autor:
Fu, Ziheng, Mukherjee, Swagato, Lanagan, Michael T., Mitra, Prasenjit, Chawla, Tarun, Narayanan, Ram M.
A Machine Learning (ML) network based on transfer learning and transformer networks is applied to wave propagation models for complex indoor settings. This network is designed to predict signal propagation in environments with a variety of objects, e
Externí odkaz:
http://arxiv.org/abs/2409.13833
Significant work has been conducted in the domain of food computing, yet these studies typically focus on single tasks such as t2t (instruction generation from food titles and ingredients), i2t (recipe generation from food images), or t2i (food image
Externí odkaz:
http://arxiv.org/abs/2409.12010
Deep learning models have achieved great success in automating skin lesion diagnosis. However, the ethnic disparity in these models' predictions needs to be addressed before deploying them. We introduce a novel approach, PatchAlign, to enhance skin c
Externí odkaz:
http://arxiv.org/abs/2409.04975
Autor:
Chawla, Kavish
Efficient load balancing is crucial in cloud computing environments to ensure optimal resource utilization, minimize response times, and prevent server overload. Traditional load balancing algorithms, such as round-robin or least connections, are oft
Externí odkaz:
http://arxiv.org/abs/2409.04896