Across 51 quantized checkpoints, quality metrics fail to predict safety drops in 36 pairings and 10 hidden-danger cases, while a new RTSI screen routes all 10 dangerous rows to testing at matched bucket size.
Holistic safety and responsibility evaluations of advanced AI models.arXiv preprint arXiv:2404.14068, 2024
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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CASE is a novel agentic AI system that proactively interviews scam victims using LLMs to collect detailed intelligence, which is then structured for use in scam prevention, resulting in a 21% increase in enforcements on Google Pay India.
Gemini 2.5 Pro and Flash models are presented as achieving frontier performance in reasoning, coding, and long-context multimodal tasks while spanning a cost-capability Pareto curve.
citing papers explorer
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Quality Is Not a Safety Proxy Under Quantization
Across 51 quantized checkpoints, quality metrics fail to predict safety drops in 36 pairings and 10 hidden-danger cases, while a new RTSI screen routes all 10 dangerous rows to testing at matched bucket size.
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CASE: An Agentic AI Framework for Enhancing Scam Intelligence in Digital Payments
CASE is a novel agentic AI system that proactively interviews scam victims using LLMs to collect detailed intelligence, which is then structured for use in scam prevention, resulting in a 21% increase in enforcements on Google Pay India.
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Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Gemini 2.5 Pro and Flash models are presented as achieving frontier performance in reasoning, coding, and long-context multimodal tasks while spanning a cost-capability Pareto curve.