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20192026
most citedQualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content

5 citations · 7 across the 8 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.LG2022★ 1 cited

FedFormer: Contextual Federation with Attention in Reinforcement Learning

Liam Hebert, Lukasz Golab, Pascal Poupart +1

A core issue in multi-agent federated reinforcement learning is defining how to aggregate insights from multiple agents. This is commonly done by taking the average of each partici…

cs.CL2022

GRS: Combining Generation and Revision in Unsupervised Sentence Simplification

Mohammad Dehghan, Dhruv Kumar, Lukasz Golab

We propose GRS: an unsupervised approach to sentence simplification that combines text generation and text revision. We start with an iterative framework in which an input sentence…