Real-time learning concerns the ability of learning systems to acquire knowledge over time,
enabling their adaptation and generalization to novel tasks. It is a critical ability for …

Interlinear glossed text (IGT) is a popular format in language documentation projects, where
each morpheme is labeled with a descriptive annotation. Automating the creation of …

Open-sourced large language models (LLMs) have exhibited remarkable performance in a
variety of NLP tasks, often catching up with the closed-sourced LLMs like ChatGPT. Among …

Words have been represented in a high-dimensional vector space that encodes their
semantic similarities, enabling downstream applications such as retrieving synonyms …

In the field of Artificial Intelligence for Information Technology Operations, causal discovery
is pivotal for operation and maintenance of systems, facilitating downstream industrial tasks …

While large language models exhibit certain cross-lingual generalization capabilities, they
suffer from performance degradation (PD) on unseen closely-related languages (CRLs) and …

Large AI models trained on audio data may have the potential to rapidly classify patients,
enhancing medical decision-making and potentially improving outcomes through early …

Phrases are fundamental linguistic units through which humans convey semantics. This
study critically examines the capacity of API-based large language models (LLMs) to …

Abstract The use of Retrieval-Augmented Generation (RAG) models has become a powerful
method for generating natural language by incorporating information retrieval. However, the …

To strengthen financial stability, regulators worldwide have expanded regulatory
requirements, impacting the profitability of financial institutions due to stricter capital …