Zobrazeno 1 - 10
of 13 833
pro vyhledávání: '"An-Peng WEI"'
The electroencephalography (EEG)-based motor imagery (MI) classification is a critical and challenging task in brain-computer interface (BCI) technology, which plays a significant role in assisting patients with functional impairments to regain mobil
Externí odkaz:
http://arxiv.org/abs/2411.17705
Diffusion Probabilistic Models (DPMs) have demonstrated exceptional performance in generative tasks, but this comes at the expense of sampling efficiency. To enhance sampling speed without sacrificing quality, various distillation-based accelerated s
Externí odkaz:
http://arxiv.org/abs/2411.06503
Modern large language models (LLMs) have exhibited cooperative synergy on complex task-solving, and collective decision-making (CDM) is a pivotal component in LLM-based multi-agent collaboration frameworks. Our survey on 52 recent such systems uncove
Externí odkaz:
http://arxiv.org/abs/2410.15168
Dialogue agents have been receiving increasing attention for years, and this trend has been further boosted by the recent progress of large language models (LLMs). Stance detection and dialogue summarization are two core tasks of dialogue agents in a
Externí odkaz:
http://arxiv.org/abs/2410.13667
Large language models (LLMs) have achieved remarkable performance across many tasks, yet aligning them with desired behaviors remains challenging. Activation intervention has emerged as an effective and economical method to modify the behavior of LLM
Externí odkaz:
http://arxiv.org/abs/2410.12299
Despite large language models' (LLMs) recent advancements, their bias and hallucination issues persist, and their ability to offer consistent preferential rankings remains underexplored. This study investigates the capacity of LLMs to provide consist
Externí odkaz:
http://arxiv.org/abs/2410.08851
Autor:
Song, Yifan, Xiong, Weimin, Zhao, Xiutian, Zhu, Dawei, Wu, Wenhao, Wang, Ke, Li, Cheng, Peng, Wei, Li, Sujian
Fine-tuning on agent-environment interaction trajectory data holds significant promise for surfacing generalized agent capabilities in open-source large language models (LLMs). In this work, we introduce AgentBank, by far the largest trajectory tunin
Externí odkaz:
http://arxiv.org/abs/2410.07706
Publikováno v:
Applied thermal engineering(2024)
Perceiving the global field from sparse sensors has been a grand challenge in the monitoring, analysis, and design of physical systems. In this context, sensor placement optimization is a crucial issue. Most existing works require large and sufficien
Externí odkaz:
http://arxiv.org/abs/2409.18423
Many longitudinal neuroimaging studies aim to improve the understanding of brain aging and diseases by studying the dynamic interactions between brain function and cognition. Doing so requires accurate encoding of their multidimensional relationship
Externí odkaz:
http://arxiv.org/abs/2409.13887
Deep learning models generating structural brain MRIs have the potential to significantly accelerate discovery of neuroscience studies. However, their use has been limited in part by the way their quality is evaluated. Most evaluations of generative
Externí odkaz:
http://arxiv.org/abs/2409.08463