4 citations · 5 across the 4 of their papers we have counts for
4 papers
Reinforcement Learning from LLM Feedback to Counteract Goal Misgeneralization
Houda Nait El Barj, Theophile Sautory
We introduce a method to address goal misgeneralization in reinforcement learning (RL), leveraging Large Language Model (LLM) feedback during training. Goal misgeneralization, a ty…
Utilitarian Beliefs in Social Networks: Explaining the Emergence of Hatred
Houda Nait El Barj, Theophile Sautory
We study the dynamics of opinions in a setting where a leader has a payoff that depends on agents' beliefs and where agents derive psychological utility from their beliefs. Agents…
Data augmentation and pre-trained networks for extremely low data regimes unsupervised visual inspection
Pierre Gutierrez, Antoine Cordier, Thaïs Caldeira +1
The use of deep features coming from pre-trained neural networks for unsupervised anomaly detection purposes has recently gathered momentum in the computer vision field. In particu…
HySTER: A Hybrid Spatio-Temporal Event Reasoner
Theophile Sautory, Nuri Cingillioglu, Alessandra Russo
The task of Video Question Answering (VideoQA) consists in answering natural language questions about a video and serves as a proxy to evaluate the performance of a model in scene…