Classical AI vs. LLMs for Decision-Maker Alignment in Health Insurance Choices

arXiv:2510.06093 · cs.AI · Submitted 2025-10-07 · Read on arXiv

cs.AI

Submitted: 2025-10-07

Updated: 2025-10-07

Code: https://github.com/TeXBase/ClassicalAIvsLLMs

Terminology

• Alignment — 91× in this paper · explained in 1 episode
• Consistency — 16× in this paper · explained in 3 episodes
• Decision-Maker Alignment — 15× in this paper
• Self-consistency — 14× in this paper · explained in 2 episodes
• Accuracy — 11× in this paper · explained in 1 episode
• Reinforcement Learning — 6× in this paper · explained in 4 episodes
• AI Alignment — 4× in this paper · explained in 2 episodes
• Prompt Engineering — 4× in this paper · explained in 4 episodes
• Adaptability — 3× in this paper · explained in 1 episode
• Alignment Methods — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Generalizability — 3× in this paper · explained in 6 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• International Conference on Learning Representations — 2× in this paper
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment Problem — 1× in this paper · explained in 1 episode
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Human-in-the-Loop — 1× in this paper · explained in 3 episodes
• In the Moment — 1× in this paper
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Reward Function — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Structured Reasoning — 1× in this paper · explained in 3 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• DecisionFlow: Advancing Large Language Model as Principled Decision Maker
• Evolving LLMs' Self-Refinement Capability via Synergistic Training-Inference Optimization

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection