98 citations · 156 across the 13 of their papers we have counts for
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cs.CL2023★ 18 cited
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models
Xingbo Wang, Renfei Huang, Zhihua Jin +2
Recently, large pretrained language models have achieved compelling performance on commonsense benchmarks. Nevertheless, it is unclear what commonsense knowledge the models learn a…
cs.CL2021★ 11 cited
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models
Zhihua Jin, Xin Jiang, Xingbo Wang +4
Existing generative pre-trained language models (e.g., GPT) focus on modeling the language structure and semantics of general texts. However, those models do not consider the numer…