Tammisetti Surekha

Evaluating the Efficiency of Large Language Models in Detecting and Mitigating Hallucinations Using a Curated Domain-Oriented Dataset and Post-Hoc Retrieval

Hallucination in large language models (LLMs) refers to the generation of plausible and coherent information that is incorrect, unsupported, or inconsistent with the available evidence. Detecting such hallucinations and verifying the information in generated responses are important for improving the reliability of LLM...