In Natural Language Processing (NLP), Large Language Models (LLMs) have demonstrated
high text generation quality. However, in real-world applications, LLMs must meet …

Despite significant advancements in multi-label text classification, the ability of existing
models to generalize to novel and seldom-encountered complex concepts, which are …

Compositional generalization, representing the model's ability to generate text with new
attribute combinations obtained by recombining single attributes from the training data, is a …

Recently, LoRA has emerged as a crucial technique for fine-tuning large pre-trained models,
yet its performance in multi-task learning scenarios often falls short. In contrast, the MoE …

Conversational AI is a promising solution to mitigate the growing shortage of human
caregivers for elderly people. However, AI systems, and LLMs in particular often produce …