From the 1 of 10 linked papers with an AI index.
10 papers
Adaptive Arena-based Contestable Argumentative Network-of-Experts for Open-Ended Care Plan Coordination
Truong Thanh Hung Nguyen, Hoang-Loc Cao, Phuc Ho +3
Care plan coordination demands synthesizing heterogeneous clinical, functional, and psychosocial information across multiple professional disciplines, where monolithic LLM pipeline…
CoPlan: A Trustworthy Co-Intelligence Interface for Care Planning through Role-Based Contestable Argument Graphs
Hung Truong Thanh Nguyen, Hélène Fournier, Piper Jackson +4
AI-supported care planning can help clinicians, patients, caregivers, and care teams coordinate complex decisions across clinical, functional, psychosocial, and environmental needs…
Self-Evolving Human-Centered Framework for Explainable Depression Symptom Annotation
Hoang-Loc Cao, Van Pham, Truong Thanh Hung Nguyen +4
The paper proposes a self‑evolving, expert‑in‑the‑loop framework that uses large language models to generate and refine depression symptom annotations aligned with DSM‑5‑TR criteri…
Does Mixture-of-Experts Actually Help Inference on Consumer and Edge Hardware? An Empirical Study
Alfarizy Alfarizy, Hung Truong Thanh Nguyen, René Richard +2
Mixture-of-Experts (MoE) language models are often described as ideal for resource-constrained inference. Each token activates only a small subset of experts, so the per-token comp…
Consensus-based Agentic Large Language Model Framework for Harmonized Tariff Schedule Code Classification
Truong Thanh Hung Nguyen, Khanh Van Quynh Nguyen, Hoang-Loc Cao +5
Accurate Harmonized Tariff Schedule (HTS) code classification is essential for customs clearance, duty assessment, trade statistics, and regulatory compliance in maritime logistics…
Contestable Multi-Agent Debate with Arena-based Argumentative Computation for Multimedia Verification
Truong Thanh Hung Nguyen, Vo Thanh Khang Nguyen, Hoang-Loc Cao +3
Multimedia verification requires not only accurate conclusions but also transparent and contestable reasoning. We propose a contestable multi-agent framework that integrates multim…