A scalable framework for evaluating multiple language models through cross-domain generation and hallucination detection

Abstract Large language models (LLMs) have significantly advanced in recent years, greatly enhancing the capabilities of retrieval-augmented generation (RAG) systems. However, challenges such as semantic similarity, bias/sentiment, and hallucinations persist, especially in domain-specific applicatio...

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Príomhchruthaitheoirí:	Sorup Chakraborty, Rajesh Chowdhury, Sourov Roy Shuvo, Rajdeep Chatterjee, Satyabrata Roy
Formáid:	Artigo
Teanga:	Inglês
Foilsithe / Cruthaithe:	Nature Portfolio 2025-08-01
Sraith:	Scientific Reports
Ábhair:	Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Semantic Similarity Bias Detection Hallucination Detection Multi-Domain Benchmarking
Rochtain ar líne:	https://doi.org/10.1038/s41598-025-15203-5
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A scalable framework for evaluating multiple language models through cross-domain generation and hallucination detection

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