Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the
field of natural language processing and artificial intelligence, due to their emergent ability …

The number of Language Models (LMs) dedicated to processing scientific text is on the rise.
Keeping pace with the rapid growth of scientific LMs (SciLMs) has become a daunting task …

Recommender systems are pivotal in enhancing user experiences across various web
applications by analyzing the complicated relationships between users and items …

摘要知识图谱通过图结构组织和表达实体关系, 为机器理解和推理提供了基础,
但推理能力受限于覆盖范围和人工规则. 大模型展现了强大的语义理解和生成能力 …

Abstract Domain adaptation is a good way to boost BERT's performance on domain-specific
natural language processing (NLP) tasks. Common domain adaptation methods, however …

Automated log analysis with AI technologies is commonly used in network, system, and
service operation and maintenance to ensure reliability and quality assurance. Log parsing …

Automated log analysis has been widely applied in modern data-center network, performing
critical tasks such as log parsing, log anomaly detection and log-based failure prediction …

The fast development of location-based social networks (LBSNs) has led to significant
changes in society, resulting in popular studies of using LBSN data for socioeconomic …

Existing graph pre-training methods demonstrate their ability to generate vertex
representations beneficial for downstream machine-learning tasks. However, the quality of …

While several comparative studies have analyzed the effectiveness of various large
language models (LLMs), most of them were technical (ie, comparing execution time, among …