23 citations · 30 across the 7 of their papers we have counts for
3 papers · 1 filter
Taking AI Welfare Seriously
Robert Long, Jeff Sebo, Patrick Butlin +7
In this report, we argue that there is a realistic possibility that some AI systems will be conscious and/or robustly agentic in the near future. That means that the prospect of AI…
Steering Without Side Effects: Improving Post-Deployment Control of Language Models
Asa Cooper Stickland, Alexander Lyzhov, Jacob Pfau +2
Language models (LMs) have been shown to behave unexpectedly post-deployment. For example, new jailbreaks continually arise, allowing model misuse, despite extensive red-teaming an…
Let's Think Dot by Dot: Hidden Computation in Transformer Language Models
Jacob Pfau, William Merrill, Samuel R. Bowman
Chain-of-thought responses from language models improve performance across most benchmarks. However, it remains unclear to what extent these performance gains can be attributed to…