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From the 1 of 7 linked papers with an AI index.

collaborators

7 papers

cs.AI2026

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…

cs.AI2026

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…

cs.LG2026

Transformation-Augmented GRPO for Enhancing Exploration in Reasoning of Large Language Models

Khiem Le, Phuc Nguyen, Youssef Mroueh +4

Group Relative Policy Optimization (GRPO) has become the dominant method for reinforcement learning with verifiable rewards in large language models, but it suffers from two critic…

cs.MA2026

Adaptive Collaboration of Arena-Based Argumentative LLMs for Explainable and Contestable Legal Reasoning

Hoang-Loc Cao, Phuc Ho, Truong Thanh Hung Nguyen +3

Legal reasoning requires not only high accuracy but also the ability to justify decisions through verifiable and contestable arguments. However, existing Large Language Model (LLM)…

cs.SE2025

Toward Generation of Test Cases from Task Descriptions via History-aware Planning

Duy Cao, Phu Nguyen, Vy Le +2

In automated web testing, generating test scripts from natural language task descriptions is crucial for enhancing the test generation process. This activity involves creating the…

cs.HC2025

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…