Article

Feature-Driven vs Language-Based AI Online Gambling Addiction Modeling: Exploring Interpretability Through XGBoost and LLM-Based RAG

2025-06-11

Abstract excerpt

The rise of online gambling has increased concern around identifying behavioral addiction in digital environments. Current predictive systems offer limited interpretability and justification for individual-level risk assessments as they often operate as black boxes. This study proposes a hybrid framework that combines a traditional machine learning model (XGBoost) with a language-based Retrieval-Augmented Generati...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: be3b6a84-0d2e-56d4-9fcc-8a61e5f075cb
DOI: 10.20944/preprints202506.0883.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Feature-Driven vs Language-Based AI Online Gambling Addiction Modeling: Exploring Interpretability Through XGBoost and LLM-Based RAGDOI 10.20944/preprints202506.0883.v1Read

Feature-Driven vs Language-Based AI Online Gambling Addiction Modeling: Exploring Interpretability Through XGBoost and LLM-Based RAGSemantic proximity Read

Can Large Language Models address problem gambling? Expert insights from gambling treatment professionalsSemantic proximity Read

Exploring Explainability in Large Language ModelsSemantic proximity Read

Emergent Behavioural Signatures in Large Language Models: A Cross-Task Study of Risk and Forecasting BehaviourSemantic proximity Read

Assessing Large Language Models’ ability to predict how humans balance self-interest and the interest of othersSemantic proximity Read

A Next-Generation NLP Framework for Psychological Behavior Analysis Based on State-of-the-art Language ModelSemantic proximity Read

Novel AI to avert the mental health crisis in COVID-19: Novel application of GPT2 in Cognitive Behaviour TherapySemantic proximity Read

Inducing State Anxiety in LLM Agents Reproduces Human-Like Biases in Consumer Decision-MakingSemantic proximity Read

Psychometric Evaluation of the NORC Diagnostic Screen for Gambling Problems (NODS) for the Assessment of DSM-5 Gambling DisorderSemantic proximity Read

mpathic Psychologist-led AI Clinical Tests Suicide Benchmark (mPACT-S-v1.0)Semantic proximity Read

Identifying Key Predictive Features for Opioid Use Disorder Using Machine LearningSemantic proximity Read

The Optimization of the Inference Efficiency and Ethical Alignment of Large Language Models via Dynamic Token Flow MechanismSemantic proximity Read