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pro vyhledávání: '"A Ba"'
This article presents the Labeled Random Finite Set (LRFS) framework for multi-object systems-systems in which the number of objects and their states are unknown and vary randomly with time. In particular, we focus on state and trajectory estimation
Externí odkaz:
http://arxiv.org/abs/2409.18531
To enhance the generalization of machine learning models to unseen data, techniques such as dropout, weight decay ($L_2$ regularization), and noise augmentation are commonly employed. While regularization methods (i.e., dropout and weight decay) are
Externí odkaz:
http://arxiv.org/abs/2410.14602
As machine learning models continue to swiftly advance, calibrating their performance has become a major concern prior to practical and widespread implementation. Most existing calibration methods often negatively impact model accuracy due to the lac
Externí odkaz:
http://arxiv.org/abs/2410.10864
Autor:
Zhao, Ranchi, Thai, Zhen Leng, Zhang, Yifan, Hu, Shengding, Ba, Yunqi, Zhou, Jie, Cai, Jie, Liu, Zhiyuan, Sun, Maosong
Publikováno v:
EMNLP 2024
The performance of Large Language Models (LLMs) is substantially influenced by the pretraining corpus, which consists of vast quantities of unsupervised data processed by the models. Despite its critical role in model performance, ensuring the qualit
Externí odkaz:
http://arxiv.org/abs/2410.05639
Haptic feedback is essential for dexterous telemanipulation that enables operators to control robotic hands remotely with high skill and precision, mimicking a human hand's natural movement and sensation. However, current haptic methods for dexterous
Externí odkaz:
http://arxiv.org/abs/2409.20527
In the modern era of rapidly increasing data volumes, accurately retrieving and recommending relevant documents has become crucial in enhancing the reliability of Question Answering (QA) systems. Recently, Retrieval Augmented Generation (RAG) has gai
Externí odkaz:
http://arxiv.org/abs/2409.13699
Modern web services adopt cloud-native principles to leverage the advantages of microservices. To consistently guarantee high Quality of Service (QoS) according to Service Level Agreements (SLAs), ensure satisfactory user experiences, and minimize op
Externí odkaz:
http://arxiv.org/abs/2409.03103
Autor:
Yang, Blair, Cui, Fuyang, Paster, Keiran, Ba, Jimmy, Vaezipoor, Pashootan, Pitis, Silviu, Zhang, Michael R.
The rapid development and dynamic nature of large language models (LLMs) make it difficult for conventional quantitative benchmarks to accurately assess their capabilities. We propose report cards, which are human-interpretable, natural language summ
Externí odkaz:
http://arxiv.org/abs/2409.00844
Autor:
Nguyen, Ba Phi, Kim, Kihong
Publikováno v:
Physica D 469, 134342 (2024)
We conduct a numerical investigation into wave propagation and localization in one-dimensional lattices subject to nonlinear disorder, focusing on cases with fixed input conditions. Utilizing a discrete nonlinear Schr\"odinger equation with Kerr-type
Externí odkaz:
http://arxiv.org/abs/2408.09339
Autor:
Le, Ba Khiet, Théra, Michel
The paper provides a thorough comparison between R-continuity and other fundamental tools in optimization such as metric regularity, metric subregularity and calmness. We show that R-continuity has some advantages in the convergence rate analysis of
Externí odkaz:
http://arxiv.org/abs/2408.09139