Ravi Srinivasan — accepted AI-conference papers

2022

Cross-Domain Detection of GPT-2-Generated Technical Text

Juan Diego Rodriguez, Todd Hay, David Gros, Zain Shamsi, Ravi Srinivasan

NAACL 2022long

Machine-generated text presents a potential threat not only to the public sphere, but also to the scientific enterprise, whereby genuine research is undermined by convincing, synthetic text. In this paper we examine the problem of detecting GPT-2-generated technical research text. We first consider…

Cited by 75 Source ↗PDF ↗code ↗Scholar ↗

2020

Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences

Daniel Brown, Russell Coleman, Ravi Srinivasan, Scott Niekum

ICML 2020poster

Bayesian reward learning from demonstrations enables rigorous safety and uncertainty analysis when performing imitation learning. However, Bayesian reward learning methods are typically computationally intractable for complex control problems. We propose Bayesian Reward Extrapolation (Bayesian REX),…

Cited by 140 Source ↗PDF ↗code ↗Scholar ↗