3 accepted papers
Low-Rank Adaptation (LoRA) has become the de facto paradigm for parameter-efficient fine-tuning, with its effectiveness critically influenced by rank allocation across modules. However, existing approaches face a fundamental dilemma: uniform allocation ignores module heterogeneity, while adaptive me…
Sequential recommendation aims to predict the next item a user is likely to interact with based on their historical interaction sequence. Capturing user intent is crucial in this process, as each interaction is typically driven by specific intentions (e.g., buying skincare products for skin maintena…
Aspect Based Sentiment Analysis (ABSA) is an important and challenging task in language understanding. It aims to assign the correct polarity to a given sentence considering the entity on which an opinion is expressed. Extant neural networks usually employ Recurrent Neural Networks (RNN), Long Short…