4 papers
Are AI Capabilities Increasing Exponentially? A Competing Hypothesis
Haosen Ge, Hamsa Bastani, Osbert Bastani
Rapidly increasing AI capabilities have substantial real-world consequences, ranging from AI safety concerns to labor market consequences. The Model Evaluation & Threat Research (M…
WST: Weak-to-Strong Knowledge Transfer via Reinforcement Learning
Haosen Ge, Shuo Li, Lianghuan Huang
Effective prompt engineering remains a challenging task for many applications. We introduce Weak-to-Strong Transfer (WST), an automatic prompt engineering framework where a small "…
Rethinking Algorithmic Fairness for Human-AI Collaboration
Haosen Ge, Hamsa Bastani, Osbert Bastani
Existing approaches to algorithmic fairness aim to ensure equitable outcomes if human decision-makers comply perfectly with algorithmic decisions. However, perfect compliance with…
Stochastic Online Conformal Prediction with Semi-Bandit Feedback
Haosen Ge, Hamsa Bastani, Osbert Bastani
Conformal prediction has emerged as an effective strategy for uncertainty quantification by modifying a model to output sets of labels instead of a single label. These prediction s…