Article

Analysing the potential solutions to LLM hallucinations in abstractive text summarisation

2025-03-17

Abstract excerpt

This work explores the implementation of Retrieval-Augmented Generation (RAG) as a method to mitigate hallucinations in abstractive text summarisation using transformer-based BART and T5. The research uses the HaDeS dataset to evaluate how effectively RAG improves the quality and factuality of generated summaries. Quantitative analysis shows that summaries generated with RAG consistently outperform summaries witho...

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Literature Corpus work: bffe5a88-9ccb-55ed-90fa-5d27d2c6d3e1
DOI: 10.22541/au.174222554.47389246/v1

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