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cs.AI2026
Aligning Language Model Benchmarks with Pairwise Preferences
Marco Gutierrez, Xinyi Leng, Hannah Cyberey +3
Language model benchmarks are pervasive and computationally-efficient proxies for real-world downstream performance. However, many recent works find that benchmarks often fail to p…
cs.CY2026
White-Box Sensitivity Auditing with Steering Vectors
Hannah Cyberey, Yangfeng Ji, David Evans
Algorithmic audits are essential tools for examining systems for properties required by regulators or desired by operators. Current audits of large language models (LLMs) primarily…