Shweta Narayan Bamne

A SURVEY OF HALLUCINATION MITIGATION STRATEGIES IN LARGE LANGUAGE MODELS: FROM DECODING-TIME FIXES TO AGENTIC RETRIEVAL AND VERIFICATION

Hallucination – the generation of fluent but factually unsupported or fabricated content – remains one of the most persistent obstacles to deploying Large Language Models (LLMs) in high-stakes domains such as healthcare, finance, and law. A wide range of mitigation strategies has been proposed, spanning several distinc...