May 11, 2023 · Abstract:We propose the GFlowNets with Human Feedback (GFlowHF) framework to improve the exploration ability when training AI models.
May 11, 2023 · We propose the GFlowNets with Human Feedback (GFlowHF) framework to im- prove the exploration ability when training AI models.
Jun 6, 2023 · We propose the GFlowNets with Human Feedback (GFlowHF) framework to improve the exploration of training language models.
In this paper, we propose Generative Flow Networks with Human Feedback (GFlowHF), a novel framework that can be used to train large-scale language models. Our ...
Sep 7, 2024 · We propose the GFlowNets with Human Feedback (GFlowHF) framework to improve the exploration ability when training AI models.
The goal of GFlowHF is to learn a policy that is strictly proportional to human ratings, instead of only focusing on human favorite ratings ...
This is a TRL language model that has been fine-tuned with reinforcement learning to guide the model outputs according to a value, function, or human feedback.
Dec 5, 2023 · This integration allows the model to adjust its policy in a way that closely adheres to human evaluations. This is a notable departure from the ...
Nov 12, 2024 · GFlowNets. GFlowNet is a diversity-seeking RL algorithm ... Training language models to follow instruc- tions with human feedback.
This paper innovatively formulate the graph active learning problem as a generative process, named GFlowGNN, which generates various samples through sequential ...