22 citations · 48 across the 13 of their papers we have counts for
Showing 2020 · cs.CLShow all
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cs.CL2020★ 22 cited
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Zhengyan Zhang, Xu Han, Hao Zhou +22
Pre-trained Language Models (PLMs) have proven to be beneficial for various downstream NLP tasks. Recently, GPT-3, with 175 billion parameters and 570GB training data, drew a lot o…
cs.CL2020★ 10 cited
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths
Haozhe Ji, Pei Ke, Shaohan Huang +2
Commonsense explanation generation aims to empower the machine's sense-making capability by generating plausible explanations to statements against commonsense. While this task is…
cs.CL2020★ 5 cited
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph
Haozhe Ji, Pei Ke, Shaohan Huang +3
Despite the success of generative pre-trained language models on a series of text generation tasks, they still suffer in cases where reasoning over underlying commonsense knowledge…