Zobrazeno 1 - 10
of 505 107
pro vyhledávání: '"DECODE '
Motion prediction is critical for autonomous vehicles to effectively navigate complex environments and accurately anticipate the behaviors of other traffic participants. As autonomous driving continues to evolve, the need to assimilate new and varied
Externí odkaz:
http://arxiv.org/abs/2411.17917
Autor:
JI, Changqing
In the application of brain-computer interface (BCI), we not only need to accurately decode brain signals,but also need to consider the explainability of the decoding process, which is related to the reliability of the model. In the process of design
Externí odkaz:
http://arxiv.org/abs/2411.16165
Autor:
Kumar, Bimal, Roussinov, Dmitri
Large Language Models (LLMs) such as GPT-4.0 have shown significant promise in addressing the semantic complexities of regulatory documents, particularly in detecting inconsistencies and contradictions. This study evaluates GPT-4.0's ability to ident
Externí odkaz:
http://arxiv.org/abs/2412.20602
Interpretability methods seek to understand language model representations, yet the outputs of most such methods -- circuits, vectors, scalars -- are not immediately human-interpretable. In response, we introduce LatentQA, the task of answering open-
Externí odkaz:
http://arxiv.org/abs/2412.08686
Autor:
Kamath, Aditya K, Prabhu, Ramya, Mohan, Jayashree, Peter, Simon, Ramjee, Ramachandran, Panwar, Ashish
Each request in LLM inference goes through two phases: compute-bound prefill and memory-bandwidth-bound decode. To improve GPU utilization, recent systems use hybrid batching that combines the prefill and decode phases of different requests into the
Externí odkaz:
http://arxiv.org/abs/2410.18038
Rate-Splitting Multiple Access (RSMA) is a promising strategy for ensuring robust transmission in multi-antenna wireless systems. In this paper, we investigate the performance of RSMA in a downlink Decode-and-Forward (DF) relay scenario under two pha
Externí odkaz:
http://arxiv.org/abs/2409.08880
DNA methylation is a crucial epigenetic marker used in various clocks to predict epigenetic age. However, many existing clocks fail to account for crucial information about CpG sites and their interrelationships, such as co-methylation patterns. We p
Externí odkaz:
http://arxiv.org/abs/2408.00984
While deep learning has been successfully applied to the data-driven classification of anomalous diffusion mechanisms, how the algorithm achieves the feat still remains a mystery. In this study, we use a well-known technique aimed at achieving explai
Externí odkaz:
http://arxiv.org/abs/2410.16345