31 citations · 35 across the 2 of their papers we have counts for
2 papers
cs.CL2023★ 4 cited
Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback
Paul Roit, Johan Ferret, Lior Shani +16
Despite the seeming success of contemporary grounded text generation systems, they often tend to generate factually inconsistent text with respect to their input. This phenomenon i…
cs.LG2019★ 31 cited
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference
Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk +2
We present a modern scalable reinforcement learning agent called SEED (Scalable, Efficient Deep-RL). By effectively utilizing modern accelerators, we show that it is not only possi…