3 papers
cs.HC2025
Motion2Meaning: A Clinician-Centered Framework for Contestable LLM in Parkinson's Disease Gait Interpretation
Loc Phuc Truong Nguyen, Hung Thanh Do, Hung Truong Thanh Nguyen +1
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…
cs.LG2025
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 (…
cs.AI2024
DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy
Vinh Luong, Sang Dinh, Shruti Raghavan +9
Large Language Models (LLMs) have shown remarkable capabilities, but their inherent probabilistic nature often leads to inconsistency and inaccuracy in complex problem-solving task…