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20242026
most citedSafety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions

2 citations · 3 across the 3 of their papers we have counts for

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cs.AI2026

Hidden Reliability Risks in Large Language Models: Systematic Identification of Precision-Induced Output Disagreements

Yifei Wang, Tianlin Li, Xiaohan Zhang +4

Large language models (LLMs) are increasingly deployed under diverse numerical precision configurations, including standard floating-point formats (e.g., bfloat16 and float16) and…