Two SMARTI-related papers presented at IEEE PRMVAI 2026
Two SMARTI-related research papers were presented at IEEE PRMVAI 2026, highlighting work in explainable legal AI and contract information extraction.
Two SMARTI-related research papers were presented at the 2026 4th IEEE International Conference on Pattern Recognition, Machine Vision and Artificial Intelligence (PRMVAI 2026). The presentations highlighted SMARTI's ongoing research engagement in legal AI, explainable AI, contract information extraction, and data governance.
The two presented papers were:
1. A Multi-Paradigm Interpretability Framework for Case Outcome Prediction with Causal Reasoning 2. A BERT-Based Deep Model for Contract Element Extraction with Multi-Scale Attention
The first paper explores how causal reasoning and multi-paradigm interpretability can support legal case outcome prediction. The second paper focuses on contract element extraction using a BERT-based deep learning model with multi-scale attention.
Together, the presentations reflect SMARTI's continued work at the intersection of AI data operations, legal-domain AI, trustworthy model development, and governance-oriented research.