Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Su, Yongye"'
Autor:
Su, Yongye, Wu, Yuqing
The ability of large language models to generate complex texts allows them to be widely integrated into many aspects of life, and their output can quickly fill all network resources. As the impact of LLMs grows, it becomes increasingly important to d
Externí odkaz:
http://arxiv.org/abs/2411.06248
Autor:
Shi, Zeru, Mei, Kai, Jin, Mingyu, Su, Yongye, Zuo, Chaoji, Hua, Wenyue, Xu, Wujiang, Ren, Yujie, Liu, Zirui, Du, Mengnan, Deng, Dong, Zhang, Yongfeng
Large language models (LLMs) have demonstrated significant potential in the development of intelligent applications and systems such as LLM-based agents and agent operating systems (AIOS). However, when these applications and systems interact with th
Externí odkaz:
http://arxiv.org/abs/2410.11843
This paper delves into enhancing the classification performance on the GoEmotions dataset, a large, manually annotated dataset for emotion detection in text. The primary goal of this paper is to address the challenges of detecting subtle emotions in
Externí odkaz:
http://arxiv.org/abs/2403.06108
This survey explores the synergistic potential of Large Language Models (LLMs) and Vector Databases (VecDBs), a burgeoning but rapidly evolving research area. With the proliferation of LLMs comes a host of challenges, including hallucinations, outdat
Externí odkaz:
http://arxiv.org/abs/2402.01763
This study presents a novel approach that synergizes community detection algorithms with various Graph Neural Network (GNN) models to bolster link prediction in scientific literature networks. By integrating the Louvain community detection algorithm
Externí odkaz:
http://arxiv.org/abs/2401.02542
Publikováno v:
In Computer Methods and Programs in Biomedicine June 2022 221
