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cs.AI2026
Intertemporal Preference Steering in Qwen3 via Contrastive Activation Addition
Michal Mráz, Justin Shenk
We study linear representations of temporal horizon in the large language model Qwen3-32B and use them to change the model's time-related preferences, recommendations, and capabili…
cs.AI2026
The Knowing-Saying Gap: When Probes See Errors that Confidence Misses
Jyotin Goel, Ipshita Bandyopadhyay, Justin Shenk
Linear probes detect corrupted context in language models with near-perfect accuracy, yet this does not translate into reliable failure prediction. The result is a dissociation wit…