Zobrazeno 1 - 10
of 97 708
pro vyhledávání: '"A AMMAR"'
Autor:
Wang, Xinran, Le, Qi, Ahmed, Ammar, Diao, Enmao, Zhou, Yi, Baracaldo, Nathalie, Ding, Jie, Anwar, Ali
Ensuring that generative AI systems align with human values is essential but challenging, especially when considering multiple human values and their potential trade-offs. Since human values can be personalized and dynamically change over time, the d
Externí odkaz:
http://arxiv.org/abs/2410.19198
With the rapid advancement of autonomous driving technology, efficient and accurate object detection capabilities have become crucial factors in ensuring the safety and reliability of autonomous driving systems. However, in low-visibility environment
Externí odkaz:
http://arxiv.org/abs/2410.17734
Autor:
Barroso-Luque, Luis, Shuaibi, Muhammed, Fu, Xiang, Wood, Brandon M., Dzamba, Misko, Gao, Meng, Rizvi, Ammar, Zitnick, C. Lawrence, Ulissi, Zachary W.
The ability to discover new materials with desirable properties is critical for numerous applications from helping mitigate climate change to advances in next generation computing hardware. AI has the potential to accelerate materials discovery and d
Externí odkaz:
http://arxiv.org/abs/2410.12771
Autor:
Yan, Xue, Song, Yan, Feng, Xidong, Yang, Mengyue, Zhang, Haifeng, Ammar, Haitham Bou, Wang, Jun
In sequential decision-making (SDM) tasks, methods like reinforcement learning (RL) and heuristic search have made notable advances in specific cases. However, they often require extensive exploration and face challenges in generalizing across divers
Externí odkaz:
http://arxiv.org/abs/2410.07927
Preference Optimization (PO) has proven an effective step for aligning language models to human-desired behaviors. Current variants, following the offline Direct Preference Optimization objective, have focused on a strict setting where all tokens are
Externí odkaz:
http://arxiv.org/abs/2410.05102
Autor:
Daskin, Ammar
In this paper, we show that an equivalent implementation of KAN can be done on quantum computers by simply combining quantum signal processing circuits in layers. This provides a powerful and robust path for the applications of KAN on quantum compute
Externí odkaz:
http://arxiv.org/abs/2410.04218
The growth in the number of parameters of Large Language Models (LLMs) has led to a significant surge in computational requirements, making them challenging and costly to deploy. Speculative decoding (SD) leverages smaller models to efficiently propo
Externí odkaz:
http://arxiv.org/abs/2410.03804
General relativistic Riemann solvers are typically complex, fragile and unwieldy, at least in comparison to their special relativistic counterparts. In this paper, we present a new high-resolution shock-capturing algorithm on curved spacetimes that e
Externí odkaz:
http://arxiv.org/abs/2410.02549
Autor:
Xu, Moucheng, Chatzaroulas, Evangelos, McCutcheon, Luc, Ahad, Abdul, Azeem, Hamzah, Marecki, Janusz, Anwar, Ammar
A Standard Operating Procedure (SOP) defines a low-level, step-by-step written guide for a business software workflow. SOP generation is a crucial step towards automating end-to-end software workflows. Manually creating SOPs can be time-consuming. Re
Externí odkaz:
http://arxiv.org/abs/2409.15867
In this paper, a new classification model based on covariance matrices is built in order to classify buried objects. The inputs of the proposed models are the hyperbola thumbnails obtained with a classical Ground Penetrating Radar (GPR) system. These
Externí odkaz:
http://arxiv.org/abs/2410.07117