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cs.CL2026
Latent space bias directions in LLMs capture confidence, not fairness
Stephanie Buttigieg, Maeve Madigan, Parameswaran Kamalaruban +1
Activation steering has gained popularity as a lightweight inference-time debiasing technique for large language models. However, prior work reports that steering vectors generalis…
cs.CL2026
DMAP: A Distribution Map for Text
Tom Kempton, Julia Rozanova, Parameswaran Kamalaruban +5
Large Language Models (LLMs) are a powerful tool for statistical text analysis, with derived sequences of next-token probability distributions offering a wealth of information. Ext…