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Tech Papers 2026: This paper quantifies the efficacy of grounding when applied to entertainment metadata internationally, specifically demonstrating where ungrounded LLMs are prone to hallucination and incorrect answers, and identifying variance in hallucination rates across 13 geographies and their primary languages.
Abstract
Large Language Models (LLMs) are used in connected TV (CTV) for search personalisation, and enrichment, but are inadequate by themselves due to hallucinations and 'knowledge-locking,' which blinds them to time-sensitive entertainment data. The critical solution is 'grounding' – connecting the...
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