GHOST-Q: Towards Studying Grounding Hallucinations Overlooked Under Same-score TradeOffs in Quantized VLMS

17 hours agoReported by arXiv38

GHOST-Q: Towards Studying Grounding Hallucinations Overlooked Under Same-score TradeOffs in Quantized VLMS. It centres on Benchmarks, and also names Inference. Reported by arXiv. Bharat Hunt files it under Enterprise AI — the section covering deployment inside businesses — platforms, adoption, cost, integration.

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Reported by arXiv

First seen 17 hours ago

arXivGHOST-Q: Towards Studying Grounding Hallucinations Overlooked Under Same-score TradeOffs in Quantized VLMS17 hours agoSaim Rehman

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GHOST-Q: Towards Studying Grounding Hallucinations Overlooked Under Same-score TradeOffs in Quantized VLMS

Companies, models and people in this story

Reported by arXiv

NVIDIA Vera Rubin NVL72 Delivers Leading Performance in MLPerf Inference v6.1 Debut

EnterpriseVal: Quantifying the Efficacy, Reliability and Value of Generative AI in the Enterprise

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Companies, models and people in this story

Reported by arXiv

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