This EdinburghNLP repository aggregates research papers on hallucination detection in LLMs, including summaries with evaluation metrics, datasets, and methodology details. The collection covers approaches such as uncertainty quantification, retrieval-augmented generation, and runtime claim verification for improving LLM factuality and reliability.