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cs.CL2024
Hidden in Plain Text: Emergence & Mitigation of Steganographic Collusion in LLMs
Yohan Mathew, Ollie Matthews, Robert McCarthy +4
The rapid proliferation of frontier model agents promises significant societal advances but also raises concerns about systemic risks arising from unsafe interactions. Collusion to…
cs.CL2023
Improving Activation Steering in Language Models with Mean-Centring
Ole Jorgensen, Dylan Cope, Nandi Schoots +1
Recent work in activation steering has demonstrated the potential to better control the outputs of Large Language Models (LLMs), but it involves finding steering vectors. This is d…
cs.CL2023★ 1 cited
A Measure of Explanatory Effectiveness
Dylan Cope, Peter McBurney
In most conversations about explanation and AI, the recipient of the explanation (the explainee) is suspiciously absent, despite the problem being ultimately communicative in natur…