4 papers
REAP: Relation-Aware Elicitation and Parsing for Closed-Book Knowledge Base Construction from LLMs
Thanh-Dan Bui, Thanh-Trung Do, Tuan-Phong Nguyen
We present the REAP system for the AKBC Shared Task 2026 on constructing knowledge bases from language models in a closed-book setting, subject to a budget of at most 32B parameter…
Multi-Dimensional Model Integrity and Responsibility Assessment Index and Scoring Framework
Phuc Truong Loc Nguyen, Thanh Hung Do, Truong Thanh Hung Nguyen +1
Artificial intelligence in high-stakes tabular domains cannot be evaluated by predictive performance alone, yet current practice still assesses explainability, fairness, robustness…
RAISE: A Unified Framework for Responsible AI Scoring and Evaluation
Loc Phuc Truong Nguyen, Hung Thanh Do
As AI systems enter high-stakes domains, evaluation must extend beyond predictive accuracy to include explainability, fairness, robustness, and sustainability. We introduce RAISE (…
ConGaIT: A Clinician-Centered Dashboard for Contestable AI in Parkinson's Disease Care
Phuc Truong Loc Nguyen, Thanh Hung Do
AI-assisted gait analysis holds promise for improving Parkinson's Disease (PD) care, but current clinical dashboards lack transparency and offer no meaningful way for clinicians to…