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cs.LG2026
Steering Vectors as a Training Signal in LLM Post-Training
Tiejin Chen, Maunil Vyas, Huaiyuan Yao +1
Steering vectors (SVs) are residual-stream directions that shift the behavior of LLMs when added to hidden states at inference time. While prior work has mainly used SVs as post-ho…
cs.LG2019★ 1 cited
Generating Fair Universal Representations using Adversarial Models
Peter Kairouz, Jiachun Liao, Chong Huang +3
We present a data-driven framework for learning fair universal representations (FUR) that guarantee statistical fairness for any learning task that may not be known a priori. Our f…