Zobrazeno 1 - 10
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pro vyhledávání: '"Farhana, A."'
Due to the substantial rise in online retail and e-commerce in recent years, the demand for efficient and fast solutions to Vehicle Routing Problems (VRP) has become critical. To manage the increasing demand, companies have adopted the strategy of ad
Externí odkaz:
http://arxiv.org/abs/2411.17080
Mathematical reasoning has proven to be a critical yet challenging task for large language models (LLMs), as they often struggle with complex multi-step problems. To address these limitations, we introduce the Monte Carlo Nash Equilibrium Self-Refine
Externí odkaz:
http://arxiv.org/abs/2411.15645
Publikováno v:
Journal of Engineering Advancements Vol. 03(01) 2022, pp 001-005
One of the deadliest pandemics is now happening in the current world due to COVID-19. This contagious virus is spreading like wildfire around the whole world. To minimize the spreading of this virus, World Health Organization (WHO) has made protocols
Externí odkaz:
http://arxiv.org/abs/2411.05312
This paper examines how large language models (LLMs) can help people write constructive comments in online debates on divisive social issues and whether the notions of constructiveness vary across cultures. Through controlled experiments with 600 par
Externí odkaz:
http://arxiv.org/abs/2411.03295
Existing unsupervised keypoint detection methods apply artificial deformations to images such as masking a significant portion of images and using reconstruction of original image as a learning objective to detect keypoints. However, this approach la
Externí odkaz:
http://arxiv.org/abs/2410.14700
In various applications, the multivariate time series often suffers from missing data. This issue can significantly disrupt systems that rely on the data. Spatial and temporal dependencies can be leveraged to impute the missing samples. Existing impu
Externí odkaz:
http://arxiv.org/abs/2410.03954
Recent research on learned indexes has created a new perspective for indexes as models that map keys to their respective storage locations. These learned indexes are created to approximate the cumulative distribution function of the key set, where us
Externí odkaz:
http://arxiv.org/abs/2408.06134
Transformers have made significant strides across various artificial intelligence domains, including natural language processing, computer vision, and audio processing. This success has naturally garnered considerable interest from both academic and
Externí odkaz:
http://arxiv.org/abs/2408.04723
Autor:
Bharathan, Resmi K., C. V, Midhun, Musthafa, M. M, M, Sreena, Ajaykumar, Silpa, P, Farhana Thesni M., B, Swapna, T, Vafiya Thaslim T., A, Shaima, K, Nived, R, Akhil, K, Anagha P., T. V, Arunima Dev, S, Keerthi E., S, Akshay K., P. V, Arun, Ghugre, S.
The cross sections for the $^{12}\mathrm{C}(\gamma,\alpha)^{8}\mathrm{Be}\rightarrow 3\alpha$ reaction have been successfully measured using exclusive coincidence between three $\alpha$ particles, minimizing Compton background. Sequential breakup kin
Externí odkaz:
http://arxiv.org/abs/2407.19792
Autor:
Farhana, Effat, Sarkar, Souvika, Knipper, Ralph, Dey, Indrani, Narayanan, Hari, Puntambekar, Sadhana, Karmaker, Shubhra Kanti
Simulations are widely used to teach science in grade schools. These simulations are often augmented with a conversational artificial intelligence (AI) agent to provide real-time scaffolding support for students conducting experiments using the simul
Externí odkaz:
http://arxiv.org/abs/2407.06241