5 papers
Frustratingly Easy Task-aware Pruning for Large Language Models
Yuanhe Tian, Junjie Liu, Xican Yang +2
Pruning provides a practical solution to reduce the resources required to run large language models (LLMs) to benefit from their effective capabilities as well as control their cos…
ChiMed 2.0: Advancing Chinese Medical Dataset in Facilitating Large Language Modeling
Yuanhe Tian, Junjie Liu, Zhizhou Kou +2
Building high-quality data resources is crucial for advancing artificial intelligence research and applications in specific domains, particularly in the Chinese medical domain. Exi…
Balanced Training Data Augmentation for Aspect-Based Sentiment Analysis
Junjie Liu, Yuanhe Tian, Yan Song
Aspect-based sentiment analysis (ABSA) is a crucial fine-grained task in social media scenarios to identify the sentiment polarity of specific aspect terms in a sentence. Although…
Face Clustering via Early Stopping and Edge Recall
Junjie Liu
Large-scale face clustering has achieved significant progress, with many efforts dedicated to learning to cluster large-scale faces with supervised-learning. However, complex model…
Seeking the Sufficiency and Necessity Causal Features in Multimodal Representation Learning
Boyu Chen, Junjie Liu, Zhu Li +1
Probability of necessity and sufficiency (PNS) measures the likelihood of a feature set being both necessary and sufficient for predicting an outcome. It has proven effective in gu…