Contrastive balancing representation learning for heterogeneous dose-response curves estimation
Estimating the individuals' potential response to varying treatment doses is crucial for
decision-making in areas such as precision medicine and management science. Most …
decision-making in areas such as precision medicine and management science. Most …
SPContrastNet: A Self-Paced Contrastive Learning Model for Few-Shot Text Classification
Meta-learning has recently promoted few-shot text classification, which identifies target
classes based on information transferred from source classes through a series of small tasks …
classes based on information transferred from source classes through a series of small tasks …
Basis is also explanation: Interpretable Legal Judgment Reasoning prompted by multi-source knowledge
S Li, S Zhao, Z Zhang, Z Fang, W Chen… - Information Processing & …, 2025 - Elsevier
Abstract The task of Legal Judgment Prediction (LJP) aims to forecast case outcomes by
analyzing fact descriptions, playing a pivotal role in enhancing judicial system efficiency and …
analyzing fact descriptions, playing a pivotal role in enhancing judicial system efficiency and …
CADLRA: A multi-charge prediction method based on the Criminal Act-Driven Law Retrieval Augmentation
J Feng, L Zhao, H Qin, Y Xu, Z Wang - Engineering Applications of Artificial …, 2024 - Elsevier
Abstract Legal Artificial Intelligence (Legal AI) has garnered significant attention in both
academic and industrial domains in recent years. However, most legal judgment prediction …
academic and industrial domains in recent years. However, most legal judgment prediction …
LegalDuet: Learning Effective Representations for Legal Judgment Prediction through a Dual-View Legal Clue Reasoning
Most existing Legal Judgment Prediction (LJP) models focus on discovering the legal
triggers in the criminal fact description. However, in real-world scenarios, a professional …
triggers in the criminal fact description. However, in real-world scenarios, a professional …
MJP: A Meta-learning Approach for Chinese Legal Judgment Prediction
Y Lang, H Hou, W Chen, S Sun - CCF International Conference on Natural …, 2024 - Springer
Legal judgment prediction (LJP) is an important task in legal AI that aims to predict outcomes
based on the factual description of a case. Most current approaches are data-intensive and …
based on the factual description of a case. Most current approaches are data-intensive and …