MEA: A Reward-Driven Multi-Agent System for Faithful Model Explanations

MEA implements a multi-agent framework that automates post-hoc model explanation by decoupling tool selection from synthesis. A Proposer agent selects appropriate explanation methods, while an Actor agent is optimized via reward-driven training to generate natural language explanations grounded in model faithfulness.