1 citations · 1 across the 3 of their papers we have counts for
3 papers
Task-driven Layerwise Additive Activation Intervention
Hieu Trung Nguyen, Bao Nguyen, Binh Nguyen +1
Modern language models (LMs) have significantly advanced generative modeling in natural language processing (NLP). Despite their success, LMs often struggle with adaptation to new…
Probe-Free Low-Rank Activation Intervention
Chonghe Jiang, Bao Nguyen, Anthony Man-Cho So +1
Language models (LMs) can produce texts that appear accurate and coherent but contain untruthful or toxic content. Inference-time interventions that edit the hidden activations hav…
The complexity of unsupervised learning of lexicographic preferences
Hélène Fargier, Pierre-François Gimenez, Jérôme Mengin +1
This paper considers the task of learning users' preferences on a combinatorial set of alternatives, as generally used by online configurators, for example. In many settings, only…