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P. R.

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Review Open access Aug 2026

Large Language Models Hallucinate and How Retrieval- Augmented Generation Mitigates It

Large Language Models (LLMs) can generate fluent and convincing responses, but fluency does not guarantee factual correctness. Hallucination occurs when a model produces information that is false, unsupported, or inconsistent with available evidence. This paper reviews why hallucinations arise andexamine Retrieval-Augm...

Shyalaja L. N., Shantinath Patil, P. R. et al. · 0 citations
Conference Jul 2026

Query-Driven Intelligent Surveillance using Deep Learning for Activity Recognition and Video Summarization

Surveillance systems have experienced rapid growth which results in production of large video data streams. The monitoring process for this data becomes challenging because its volume exceeds human capacity and this situation creates potential for errors. Our research presents a hybrid intelligent surveillance system w...

Abdul Haq Nalband, R. U, Shashwat Dodamani et al. · 0 citations

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