Hallucination Mitigation in Large Language Model-Based Tool Recommendation: A Cross-Provider Architectural Ablation Study Across Two Model Generations
This work evaluates a three-mechanism mitigation stack consisting of database-grounded context injection, fixed vocabulary constraints, and enforced JavaScript Object Notation output across three commercial LLM providers, two model generations, and two output modes (standard and reasoning), totaling 6912 Application Pr...