Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jiang, Lekang"'
Large language models (LLMs) have shown exceptional performance across various text generation tasks but remain under-explored in the patent domain, which offers highly structured and precise language. This paper constructs a dataset to investigate t
Externí odkaz:
http://arxiv.org/abs/2406.19465
Autor:
Jiang, Lekang, Goetz, Stephan
Patents, encapsulating crucial technical and legal information, present a rich domain for natural language processing (NLP) applications. As NLP technologies evolve, large language models (LLMs) have demonstrated outstanding capabilities in general t
Externí odkaz:
http://arxiv.org/abs/2403.04105
Recently, Graph Neural Networks (GNNs) have shown promising performance in tasks on dynamic graphs such as node classification, link prediction and graph regression. However, few work has studied the temporal edge regression task which has important
Externí odkaz:
http://arxiv.org/abs/2308.07883
Foundation models (FMs) have shown prominent success in a wide range of tasks. Their applicability to specific domain-task pairings relies on the availability of, both, high-quality data and significant computational resources. These challenges are n
Externí odkaz:
http://arxiv.org/abs/2307.06933