Mitigating LLM Hallucinations through Domain-Grounded Tiered Retrieval | ScienceToStartup | ScienceToStartup

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References (35)

[1]

Large Language Models Hallucination: A Comprehensive Survey

2025Aisha Alansari, H. Luqman

[2]

Why Language Models Hallucinate

2025A. Kalai, Ofir Nachum et al.

[3]

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation

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"A domain-grounded retrieval system that enhances the reliability of LLMs by mitigating hallucinations through a structured verification process."

LLM Reliability•Score: 7•View PDF ↗

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Mitigating LLM Hallucinations through Domain-Grounded Tiered Retrieval

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References (35)

Founder's Pitch

"A domain-grounded retrieval system that enhances the reliability of LLMs by mitigating hallucinations through a structured verification process."

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Mitigating LLM Hallucinations through Domain-Grounded Tiered Retrieval

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References (35)

Founder's Pitch

"A domain-grounded retrieval system that enhances the reliability of LLMs by mitigating hallucinations through a structured verification process."

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