Papers by Ian Poey

1 papers
RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation (2025.emnlp-industry)

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Challenge: In enterprise settings, Generative AI has received widespread adoption as a tool to uplift employees' productivity.
Approach: They develop lightweight models capable of detecting when LLM-generated text deviates from retrieved source documents semantically.
Outcome: The proposed models outperform open-source alternatives on credit policy and sustainability reports used in the banking industry.

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